Steel plate tension dynamic optimization method and system based on model predictive control

Abstract

The invention provides a model predictive control-based steel plate tension dynamic optimization method and system. The method comprises the following steps of: obtaining material characteristic parameters of a high-strength steel plate; according to the material characteristic parameters, predicting the tension change of the high-strength steel plate and defining a voltage regulation parameter range of an electric control valve by utilizing model prediction control so as to generate a voltage regulation instruction matched with the material characteristic parameters; according to the rotating speed adjusting requirement and the real-time load state of the driving motor, an optimized pulse sequence is generated through the pulse modulation technology; determining a duty ratio adjustment direction and a duty ratio adjustment proportion according to the voltage adjustment instruction so as to obtain a pulse sequence after duty ratio adjustment; and by means of the voltage adjusting instruction, the trigger phase of the pulse sequence with the duty ratio adjusted is corrected, so that the rotating speed of the driving motor is synchronously matched with the tension adjusting variable, and synchronous self-adaptive optimization of the tension control response speed and the material characteristic change in the production process of the high-strength steel plate is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of rolling process optimization, and particularly to a dynamic optimization method and system for steel plate tension based on model predictive control. Background Art

[0002] During the continuous high-strength steel plate production process, the stability of tension control directly affects the sheet forming quality and production efficiency. Due to the dynamic changes in the material properties (such as hardness, thickness) of high-strength steel plates during the rolling process caused by factors such as temperature gradient and roll wear, the tension fluctuations are aggravated. Existing technologies are difficult to simultaneously meet the requirements of dynamic parameter adaptation, multi-variable collaborative optimization, and control signal timing synchronization, and there is an urgent need for an adaptive control scheme that can real-time fuse material property parameters and actuator states.

[0003] The current typical solution for the above production requirements is a collaborative control method based on feedback proportional integral derivative control (PID controller) and fixed-rule pulse modulation. This method uses a tension sensor to collect the tension data of the production line in real time, calculates the reference voltage adjustment amount of the electro-control valve through the PID controller, and generates a pulse sequence with a fixed duty cycle to control the drive motor according to a preset speed-tension mapping table. The voltage adjustment of the electro-control valve and the generation of the pulse sequence adopt separate control logics, and the two are roughly synchronized through a timing alignment module. The above method has significant defects in application: for example, the PID controller relies on fixed parameters, resulting in response lag or overshoot in the case of sudden tension changes; secondly, the duty cycle and trigger phase of the pulse sequence are generated based on static rules, resulting in insufficient synchronization accuracy between the motor speed and the tension adjustment amount, especially in the case of frequent fluctuations in material properties, it is easy to cause control signal conflicts and exacerbate system instability. Summary of the Invention

[0004] The present invention provides a dynamic optimization method and system for steel plate tension based on model predictive control to solve the problems in the prior art that rely on fixed parameters, resulting in response lag or overshoot in the case of sudden tension changes; the synchronization accuracy between the motor speed and the tension adjustment amount is insufficient, especially in the case of frequent fluctuations in material properties, it is easy to cause control signal conflicts and exacerbate system instability.

[0005] In a first aspect, the present invention provides a dynamic optimization method for steel plate tension based on model predictive control, including: Obtaining the material property parameters of high-strength steel plates, where the material property parameters include hardness parameters and thickness parameters; According to the material property parameters, using model predictive control to predict the tension change of high-strength steel plates and define the voltage adjustment parameter range of the electro-control valve, so as to generate a voltage adjustment instruction matching the material property parameters; According to the rotational speed adjustment requirement of the drive motor and the real-time load state, pulse modulation technology is used to generate an optimized pulse sequence; According to the voltage regulation instruction, determine the duty cycle adjustment direction and the duty cycle adjustment ratio to adjust the optimized pulse sequence, and obtain a pulse sequence with an adjusted duty cycle; Using the voltage regulation instruction, correct the trigger phase of the pulse sequence with the adjusted duty cycle, so that the rotational speed of the drive motor is synchronously matched with the tension adjustment amount, and realize the synchronous adaptive optimization of the tension control response speed and the material property change during the production process of the high-strength steel plate.

[0006] Optionally, according to the material property parameters, using model predictive control, predict the tension change of the high-strength steel plate and define the voltage regulation parameter range of the electro-control valve to generate a voltage regulation instruction matching the material property parameters, including: Based on the hardness parameter and the thickness parameter in the material property parameters, use model predictive control to construct a dynamic relationship model between the deformation rate and the tension value; Within the prediction window of model predictive control, use the dynamic relationship model to calculate the rising rate, peak interval and decay rate of the tension fluctuation to divide the tension fluctuation threshold interval; Based on the tension fluctuation threshold interval and the optimization objective of model predictive control, define the voltage regulation parameter range of the electro-control valve, and the voltage regulation parameter range includes the upper limit of voltage increment, the lower limit of voltage decay and the adjustment step constraint; Based on the voltage regulation parameter range, combined with the dynamic correlation relationship between the deformation rate and the tension fluctuation threshold interval, optimize and generate a candidate voltage regulation parameter sequence through model predictive control; Perform continuity verification on the candidate voltage regulation parameter sequence to generate a target voltage regulation parameter combination that meets the voltage mutation amplitude limit and the adjacent parameter time sequence interval constraint; Extract the final target voltage regulation parameter with the shortest adjacent parameter time sequence interval and the smallest voltage mutation amplitude from the target voltage regulation parameter combination, and convert the final target voltage regulation parameter into a voltage regulation instruction matching the material property parameters.

[0007] Optionally, based on the voltage regulation parameter range, combined with the dynamic correlation relationship between the deformation rate and the tension fluctuation threshold interval, optimize and generate a candidate voltage regulation parameter sequence through model predictive control, including: According to the numerical range of the deformation rate, divide the tension fluctuation threshold interval into multiple sub-intervals, and each sub-interval corresponds to a specific change range of the deformation rate; Based on the upper limit of voltage increment and the lower limit of voltage decay in the voltage regulation parameter range, generate an initial voltage regulation parameter set matching the deformation rate of each sub-interval; Perform parameter expansion on the set of initial voltage regulation parameters to generate an expanded set of voltage regulation parameters; According to the adjustment step constraint, discretize and segment the voltage regulation parameters in the expanded set of voltage regulation parameters to generate a discretized set of voltage regulation parameters; Within the prediction window of model predictive control, according to the dynamic correlation relationship between the shape change rate and the tension fluctuation threshold interval, select target voltage regulation parameters that meet the multi-stage tension fluctuation suppression requirements from the discretized set of voltage regulation parameters to generate a candidate voltage regulation parameter sequence.

[0008] Optionally, according to the speed regulation requirement of the drive motor and the real-time load state, use pulse modulation technology to generate an optimized pulse sequence, including: According to the speed regulation requirement of the drive motor, set the reference waveform parameters of the pulse modulation technology, and the reference waveform parameters include the initial pulse width and the initial pulse interval; Based on the initial pulse width and the initial pulse interval, generate an initial control signal waveform according to the periodic arrangement rule, and the initial control signal waveform is composed of multiple pulse units; According to the real-time load state of the drive motor, calculate the width adjustment amount of each pulse unit in the initial control signal waveform, and the width adjustment amount is proportional to the change amount of the real-time load state; Superimpose the width adjustment amount of each pulse unit in the initial control signal waveform and the corresponding initial pulse width to generate a first adjusted pulse unit, and recombine the first adjusted pulse units to generate a transition pulse sequence; Smooth the interval between adjacent first adjusted pulse units in the transition pulse sequence to eliminate the abrupt interval between adjacent first adjusted pulse units and generate an optimized pulse sequence.

[0009] Optionally, according to the voltage regulation instruction, determine the duty cycle adjustment direction and the duty cycle adjustment ratio to adjust the optimized pulse sequence to obtain a pulse sequence with an adjusted duty cycle, including: Take the absolute value of the numerical change amount of the voltage regulation instruction as the duty cycle adjustment ratio, and according to the preset positive threshold and the preset negative threshold, divide the numerical change amount into a positive change amount and a negative change amount, take the positive change amount as the duty cycle increase direction, and take the negative change amount as the duty cycle decrease direction; Based on the duty cycle adjustment direction and the duty cycle adjustment ratio, establish a correction rule for the high-level duration corresponding to each pulse unit in the optimized pulse sequence, and the duty cycle adjustment direction includes the duty cycle increase direction and the duty cycle decrease direction; According to the high-level duration correction rule, correct the high-level duration of the pulse unit in the optimized pulse sequence to generate a second adjusted pulse unit; Verify the second adjusted pulse unit. If the mutation amplitude of the high-level duration of adjacent second adjusted pulse units exceeds the preset mutation threshold, smooth the mutation amplitude, and finally generate a verified pulse unit sequence; Recombine the verified pulse unit sequence to obtain a pulse sequence with adjusted duty cycle.

[0010] Optionally, use the voltage regulation instruction to correct the trigger phase of the pulse sequence with adjusted duty cycle, so that the rotation speed of the drive motor is synchronously matched with the tension adjustment amount, including: According to the waveform data of the voltage value changing with time in the voltage regulation instruction, identify the starting time point of the voltage value changing from low to high as the rising edge time point, and the starting time point of the voltage value changing from high to low as the falling edge time point; According to the rising edge time point and the falling edge time point, calculate the trigger phase correction amount of each pulse unit in the pulse sequence with adjusted duty cycle; Superimpose the trigger phase correction amount of each pulse unit in the pulse sequence with adjusted duty cycle on the corresponding initial trigger time point to generate a third adjusted pulse unit; Verify the third adjusted pulse unit. If the trigger time interval of adjacent third adjusted pulse units is less than the preset minimum interval threshold, move the trigger time point of the latter third adjusted pulse unit backward to meet the preset minimum interval threshold to obtain a fourth adjusted pulse unit; Recombine the fourth adjusted pulse unit to generate a pulse sequence with corrected trigger phase. The trigger time point of the pulse sequence with corrected trigger phase is synchronized with the waveform change of the voltage regulation instruction, so that the rotation speed of the drive motor is synchronously matched with the tension adjustment amount.

[0011] In a second aspect, the present invention provides a dynamic optimization system for steel plate tension based on model predictive control, including: An acquisition module for acquiring the material characteristic parameters of the high-strength steel plate, where the material characteristic parameters include hardness parameters and thickness parameters; A prediction module for predicting the tension change of the high-strength steel plate and defining the voltage regulation parameter range of the electromagnetic control valve by using model predictive control according to the material characteristic parameters, so as to generate a voltage regulation instruction matching the material characteristic parameters; A generation module for generating an optimized pulse sequence by using pulse modulation technology according to the rotation speed adjustment requirement of the drive motor and the real-time load state; An adjustment module, configured to determine a duty ratio adjustment direction and a duty ratio adjustment ratio according to the voltage adjustment instruction, so as to adjust the optimized pulse sequence to obtain a pulse sequence with an adjusted duty ratio A correction module, configured to use the voltage adjustment instruction to correct the trigger phase of the pulse sequence with the adjusted duty ratio, so that the rotational speed of the drive motor is synchronously matched with the tension adjustment amount, and the synchronous adaptive optimization of the tension control response speed and the material property change during the production process of the high-strength steel plate is realized.

[0012] In a third aspect, the present invention provides a computing device, including a processor and a memory, wherein a computer program is stored in the memory, and the processor is configured to run the computer program to execute a method for dynamically optimizing the tension of a steel plate based on model predictive control according to any one of the first aspects.

[0013] In a fourth aspect, the present invention provides a computer storage medium, on which computer program instructions are stored, and when the computer program instructions are executed by a processor, a method for dynamically optimizing the tension of a steel plate based on model predictive control according to any one of the first aspects is realized.

[0014] In the present invention, material characteristic parameters of high-strength steel plates are obtained, where the material characteristic parameters include hardness parameters and thickness parameters; according to the material characteristic parameters, model predictive control is used to predict the tension change of high-strength steel plates and define the voltage adjustment parameter range of an electro-control valve, so as to generate a voltage adjustment instruction matching the material characteristic parameters; according to the rotational speed adjustment requirement and real-time load state of a drive motor, a pulse modulation technique is adopted to generate an optimized pulse sequence; according to the voltage adjustment instruction, the duty cycle adjustment direction and duty cycle adjustment ratio are determined to adjust the optimized pulse sequence, and a pulse sequence with an adjusted duty cycle is obtained; by using the voltage adjustment instruction, the trigger phase of the pulse sequence with the adjusted duty cycle is corrected, so that the rotational speed of the drive motor is synchronously matched with the tension adjustment amount, and synchronous adaptive optimization of the tension control response speed and material characteristic change during the production process of the high-strength steel plates is realized. The technical solution provided by the present invention solves the problem of control lag caused by the fact that the change of material characteristics is not perceived in real time in traditional methods by collecting the hardness and thickness parameters of high-strength steel plates in real time and providing accurate input basis for dynamic control; based on the dynamic prediction of tension fluctuations of material characteristics and the optimization of the voltage adjustment parameters of the electro-control valve, the defect of response lag of a fixed-parameter controller is overcome, and the adaptability to sudden changes in material characteristics is improved; by combining the dynamic adjustment of the pulse waveform according to the load state of the drive motor, the mismatch between the control signal and the working condition caused by static rules is avoided, and the adaptability of the system to a complex production environment is enhanced; by dynamically adjusting the pulse duty cycle according to the voltage instruction, the rapid matching of the motor rotational speed and the tension requirement is realized, and the overshoot or undershoot problem caused by the fixed duty cycle in the traditional scheme is eliminated; by synchronously correcting the pulse trigger time point through the voltage adjustment instruction, the control conflict caused by the timing deviation between the electro-control valve and the motor action is solved, and the coordination accuracy of multiple actuators is ensured. Further, based on the waveform data of the voltage adjustment instruction, the rising edge and falling edge time points of the voltage change are identified, the trigger phase correction amount of each pulse unit is calculated, the initial trigger time point is adjusted by superimposing the correction amount, and the trigger interval between adjacent pulse units is detected for conflict and translated and corrected, and finally a pulse sequence with a corrected trigger phase strictly synchronized with the voltage instruction is generated, eliminating the timing deviation between the electro-control valve and the drive motor action, solving the problem of inaccurate rotational speed and tension adjustment caused by signal asynchronization in traditional discrete control, and improving the stability and response consistency of the system coordinated control to adapt to the complex working conditions of rapid voltage jump and frequent load fluctuation in the production of high-strength steel plates.

[0015] These aspects or other aspects of the present invention will be more clearly understood in the following description of the embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the accompanying drawings required in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can also be obtained based on these drawings.

[0017] Figure 1 It is a flowchart of a method for dynamically optimizing the steel plate tension based on model predictive control provided by an embodiment of the present invention; Figure 2 It is a schematic structural diagram of a system for dynamically optimizing the steel plate tension based on model predictive control provided by an embodiment of the present invention; Figure 3 It is a schematic structural diagram of a computing device provided by an embodiment of the present invention. Detailed implementation manners

[0018] In order to enable those skilled in the art of the present technology to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings in the embodiments of the present invention.

[0019] In some processes described in the specification, claims and the above accompanying drawings of the present invention, there are multiple operations that appear in a specific order. However, it should be clearly understood that these operations may not be executed in the order in which they appear herein or may be executed in parallel. The operation numbers such as 101, 102, etc. are only used to distinguish different operations, and the numbers themselves do not represent any execution order. In addition, these processes may include more or fewer operations, and these operations may be executed in sequence or in parallel. It should be noted that the descriptions such as "first" and "second" in this article are used to distinguish different messages, devices, modules, etc., and do not represent a sequence, nor do they limit that "first" and "second" are of different types.

[0020] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative efforts belong to the scope of protection of the present invention.

[0021] Figure 1 There is provided a flowchart of a method for dynamically optimizing the steel plate tension based on model predictive control according to an embodiment of the present invention. As Figure 1 shown, the method includes: In view of the problem of tension fluctuation control caused by the dynamic change of material properties in the production of continuous high-strength steel plates, the existing technology relies on a PID controller with fixed parameters and a static pulse modulation strategy, which is difficult to achieve precise coordination between the voltage of the electric control valve and the rotational speed of the drive motor, resulting in response lag, insufficient synchronization accuracy, and poor system stability. By integrating the real-time detection of material property parameters (such as hardness and thickness) and the dynamic optimization ability of model predictive control, this invention predicts the tension change, and then generates a voltage adjustment command matching the material properties. At the same time, it dynamically generates an optimized pulse sequence in combination with the load state of the drive motor, and adjusts the pulse duty cycle and trigger phase in real time based on the voltage command, so that the action of the electric control valve is strictly synchronized with the motor speed, solving the defects of parameter solidification, timing mismatch, and discrete control logic in the traditional scheme, and finally achieving a deep adaptability between the tension control response speed and the change of material properties, ensuring the stability and efficiency of continuous production of high-strength steel plates. Based on this, this invention provides a dynamic optimization method for steel plate tension based on model predictive control, such as Figure 1 , including: Step 101: Obtain the material property parameters of the high-strength steel plate, where the material property parameters include hardness parameters and thickness parameters; In this step, the high-strength steel plate refers to a metal material with a tensile strength higher than that of conventional steel plates, which is usually used in fields such as automobiles and construction. The changes in its hardness and thickness have a significant impact on the rolling tension control. The material property parameters include hardness parameters and thickness parameters, which reflect the physical properties of the steel plate. The hardness parameter represents the ability of the steel plate to resist plastic deformation and is calculated based on the indentation depth or springback amount. The thickness parameter represents the cross-sectional size of the steel plate and is obtained in real time through a non-contact ranging device.

[0022] In the embodiment of this invention, the hardness parameters and thickness parameters of the high-strength steel plate are collected in real time through a hardness sensor and a thickness sensor installed on the production line. Among them, the hardness parameter is obtained by measuring the anti-deformation ability of the steel plate surface by the indentation method, and the thickness parameter is obtained by detecting the cross-sectional size of the steel plate by a laser rangefinder or an ultrasonic thickness gauge. The material property parameters are used as the input data for subsequent model predictive control to dynamically reflect the physical properties of the steel plate during the rolling process.

[0023] Step 102: According to the material property parameters, use model predictive control to predict the tension change of the high-strength steel plate and define the voltage adjustment parameter range of the electric control valve to generate a voltage adjustment command matching the material property parameters; In this step, the tension change refers to the dynamic fluctuation of the tensile force on the high-strength steel plate during the rolling process, which is generated by the combined action of material characteristic parameters and rolling parameters. The electro-control valve refers to the actuator used to adjust the pressure of the hydraulic system, and its voltage parameter determines the output pressure magnitude. The voltage adjustment parameter refers to the upper limit of voltage increment, the lower limit of voltage attenuation, and the adjustment step constraint, which are optimized and generated by model predictive control. The voltage adjustment command is a control signal containing the target voltage value and its timing information, which is output by model predictive control.

[0024] In the embodiment of the present invention, model predictive control is used to combine the mechanical parameters of the rolling equipment (such as roll pressure, speed) to predict the fluctuation trend of the high-strength steel plate in the future time domain (such as rising rate, peak interval, attenuation stage). Based on the prediction results, the voltage adjustment parameter range of the electro-control valve (such as the upper limit of voltage increment, the lower limit of voltage attenuation, and the adjustment step constraint) is defined through a multi-objective optimization algorithm, and a voltage adjustment command matching the current material characteristics is generated.

[0025] Step 103: Generate an optimized pulse sequence according to the speed adjustment requirement of the drive motor and the real-time load state by using pulse modulation technology; In this step, the drive motor refers to the actuator that controls the roll speed, and its speed is directly related to the tension adjustment amount. The speed adjustment requirement refers to the motor speed set value calculated according to the target tension value. The real-time load state refers to the current working load of the drive motor, which is obtained through a current or torque sensor. The optimized pulse sequence refers to the periodic pulse signal adjusted by the load state and smoothed, which is used to control the motor speed.

[0026] In the embodiment of the present invention, according to the speed adjustment requirement of the drive motor, the initial pulse width and the initial pulse interval are set, and combined with the real-time load state of the drive motor, which is obtained through a current sensor or a torque sensor, the pulse width is dynamically adjusted to generate an initial control signal waveform composed of multiple pulse units. The adjacent pulse intervals in the initial control signal waveform are smoothed to eliminate the sudden intervals, and then an optimized pulse sequence is generated to ensure the dynamic matching of the motor speed and the load change.

[0027] Step 104: Determine the duty cycle adjustment direction and the duty cycle adjustment ratio according to the voltage adjustment command to adjust the optimized pulse sequence to obtain a pulse sequence with an adjusted duty cycle; In this step, the duty cycle adjustment direction refers to the adjustment trend of increasing or decreasing the duration of the pulse high level. The duty cycle adjustment ratio refers to the ratio of the adjustment amplitude to the change amount of the voltage adjustment command. The pulse sequence with an adjusted duty cycle refers to the pulse signal generated by dynamically adjusting the duty cycle to adapt to the voltage adjustment requirement.

[0028] In an embodiment of the present invention, by analyzing the numerical change amount of the voltage regulation instruction (such as the amplitude of voltage increase or decrease), the duty cycle adjustment direction (such as increase or decrease) and the duty cycle adjustment ratio (the ratio of the absolute value of the numerical change amount to a preset threshold) are determined. Based on the duty cycle adjustment direction and the duty cycle adjustment ratio, the high-level duration of each pulse unit in the optimized pulse sequence is corrected and verified to generate a pulse sequence with an adjusted duty cycle, so that the motor speed is precisely matched with the voltage regulation requirement.

[0029] Step 105: Use the voltage regulation instruction to correct the trigger phase of the pulse sequence after adjusting the duty cycle, so that the rotation speed of the driving motor is synchronously matched with the tension adjustment amount, and realize the synchronous adaptive optimization of the tension control response speed and the material property change during the production process of the high-strength steel plate; In this step, the trigger phase refers to the starting time point of the pulse signal, which determines the action timing of the motor. The tension adjustment amount refers to the tension adjustment value to be applied, which is calculated by the difference between the current tension and the target tension. The tension control response speed refers to the time required for the system to complete the adjustment from detecting the tension deviation, which reflects the control efficiency. The material property change refers to the dynamic fluctuation of the hardness or thickness of the high-strength steel plate during the rolling process, which is caused by factors such as temperature and wear.

[0030] In an embodiment of the present invention, by analyzing the waveform data of the voltage regulation instruction (such as the rising edge and falling edge time points), the trigger phase correction amount of each pulse unit is calculated; the trigger phase correction amount of each pulse unit is superimposed on the corresponding initial trigger time point, and the trigger interval between adjacent pulse units is subjected to conflict detection and translation adjustment to generate a pulse sequence with a corrected trigger phase that is strictly synchronized with the voltage instruction, ensuring the real-time synchronization of the driving motor speed and the tension adjustment amount.

[0031] The embodiment of the present invention solves the defects of parameter solidification, timing mismatch and discrete control logic in the traditional scheme, improves the response speed and synchronous accuracy of tension control, adapts to the sudden change of material properties and the requirements of complex working conditions in the production of high-strength steel plates, and ensures production stability and efficiency.

[0032] For example, in a continuous high-strength steel plate rolling production line, first, a hardness sensor and a laser thickness gauge are used to collect the hardness parameter (such as 450 HB) and thickness parameter (such as 2.5 mm) of the steel plate in real time; the parameters are input into the model predictive control to predict the tension change within the next 10 seconds and generate a voltage regulation command for the electric control valve (such as rising from 5 V to 8 V); at the same time, based on the target rotational speed (2000 rpm) and the real-time load current (15 A) of the drive motor, a pulse modulation technique is used to generate an optimized pulse sequence (duty cycle 50%), where the pulse width is adjusted to 55% through load feedback; based on the numerical change amount (+3 V) of the voltage command, the duty cycle increase direction and the duty cycle adjustment ratio (30%) are determined, and the duty cycle of the optimized pulse sequence is adjusted to 65% to obtain a pulse sequence with the adjusted duty cycle; the rising edge time point (t = 2 s) of the voltage regulation command is parsed, and the trigger phase correction amount (such as +0.1 ms) of each pulse unit in the pulse sequence with the adjusted duty cycle is calculated to adjust the pulse sequence. After verification, it is detected that the trigger time interval between adjacent pulse units is too small (0.5 ms < 1 ms threshold), and the pulse trigger time of the latter pulse unit is shifted to 1.2 ms. Finally, a pulse sequence with the corrected trigger phase is generated, and the rotational speed of the drive motor is strictly matched with the tension adjustment amount, realizing tension fluctuation suppression and production efficiency improvement.

[0033] The present invention provides a specific embodiment. Step 102: Construct a dynamic data fusion framework, and the dynamic data fusion framework adjusts the association rules between the structured data and the unstructured data according to real-time analysis requirements, which specifically includes the following steps: Step 201: Based on the hardness parameter and thickness parameter in the material property parameters, use model predictive control to construct a dynamic relationship model between the shape change rate and the tension value; In this step, the shape change rate refers to the deformation amplitude of the high-strength steel plate per unit time during the rolling process, which is calculated by dividing the roll pressure by (hardness parameter × thickness parameter) and reflects the plastic deformation ability of the material. The tension value refers to the tensile force applied to the high-strength steel plate during the rolling process, which is calculated by multiplying the shape change rate by the material elastic modulus and is used to evaluate the stability of tension control. The dynamic relationship model refers to a mathematical model constructed based on model predictive control, which describes the real-time association relationship between the shape change rate, the material property parameters, and the tension value.

[0034] In the embodiment of the present invention, the hardness parameter and the thickness parameter are used as input variables through model predictive control, combined with the mechanical parameters of the rolling equipment (such as roll pressure, linear velocity), to establish a dynamic relationship model between the shape change rate and the tension value. This model is trained by historical rolling data and can predict tension changes.

[0035] Step 202: Within the prediction window of model predictive control, calculate the rising rate, peak interval, and decay rate of the tension fluctuation using the dynamic relationship model to divide the tension fluctuation threshold interval; In this step, the prediction window refers to the time range (such as 10 seconds) in model predictive control used to simulate future working conditions, and the optimization strategy is calculated within this window. Tension fluctuation refers to the dynamic change of tension during the rolling process. The rising rate refers to the average growth rate of the tension value from the baseline to the peak, calculated by dividing the change in tension by the time difference. The peak interval refers to the time period during which the tension value remains above 90% of the peak, reflecting the duration of the high-tension state. The decay rate refers to the average deceleration of the tension value from the peak to the baseline, calculated by dividing the change in tension by the time difference. The tension fluctuation threshold interval refers to the tension fluctuation levels (such as high, medium, low) divided according to the rising rate, peak interval, and decay rate, used to dynamically adjust the control strategy.

[0036] In the embodiment of the present invention, within the prediction window (such as 10 seconds) simulated by model predictive control, the rising rate of the tension change curve, the peak interval, and the decay rate are extracted through the dynamic relationship model. According to the above parameters, the tension fluctuation is divided into three threshold intervals: high, medium, and low. For example, the high fluctuation interval is when the rising rate is greater than 5 N / s and the peak interval exceeds 3 seconds.

[0037] Step 203: Based on the tension fluctuation threshold interval and the optimization objective of model predictive control, define the voltage regulation parameter range of the electric control valve, and the voltage regulation parameter range includes the upper limit of voltage increment, the lower limit of voltage decay, and the adjustment step constraint; In this step, the optimization objective refers to the comprehensive index (such as the tension fluctuation amplitude, the energy consumption of the electric control valve) that needs to be minimized in model predictive control, and multi-objective balance is achieved through weight allocation. The upper limit of voltage increment refers to the maximum voltage increase allowed for a single adjustment, dynamically set based on the tension fluctuation threshold interval. The lower limit of voltage decay refers to the maximum voltage decrease allowed for a single adjustment, used to prevent overshoot. The adjustment step constraint refers to the minimum time interval between adjacent voltage adjustment actions to ensure the response stability of the electric control valve.

[0038] In the embodiment of the present invention, based on the tension fluctuation threshold interval and the optimization objective of model predictive control, the voltage regulation parameter range is set through a multi-objective optimization algorithm (such as linear programming), which includes the upper limit of voltage increment (such as +2V), the lower limit of voltage decay (such as -1.5V), and the adjustment step constraint (such as 0.5 seconds), and is dynamically adjusted according to the threshold interval (for example, the high fluctuation interval corresponds to a looser increment upper limit), where the optimization objective includes minimizing the tension fluctuation amplitude and the energy consumption of the electric control valve.

[0039] Step 204: Based on the voltage regulation parameter range, in combination with the dynamic correlation relationship between the deformation rate and the tension fluctuation threshold interval, optimize and generate a candidate voltage regulation parameter sequence through model predictive control; In this step, the dynamic correlation relationship refers to the regular mapping between the deformation rate and the tension fluctuation threshold interval (such as a high deformation rate corresponding to a high fluctuation interval). The candidate voltage regulation parameter sequence refers to multiple voltage regulation schemes generated by model predictive control, and each group contains sequentially continuous voltage parameters.

[0040] In the embodiment of the present invention, according to the deformation rate, the tension fluctuation threshold interval is divided into multiple sub-intervals, and according to the voltage regulation parameter range, an initial voltage regulation parameter set matching the deformation rate of each sub-interval is generated, and parameter expansion and segmentation processing are performed on it to generate a discretized voltage regulation parameter set, and the target voltage regulation parameters that meet the multi-stage tension fluctuation suppression requirements are selected from it to generate a candidate voltage regulation parameter sequence.

[0041] Step 205: Perform continuity verification on the candidate voltage regulation parameter sequence to generate a target voltage regulation parameter combination that meets the voltage mutation amplitude limit and the adjacent parameter time sequence interval constraint; In this step, the voltage mutation amplitude limit refers to the maximum allowable change amount of adjacent voltage parameters (such as ±3V) to prevent the electronic control valve from being overloaded. The adjacent parameter time sequence interval constraint refers to the minimum time interval between voltage regulation actions (such as 0.5 seconds) to avoid frequent regulation.

[0042] In the embodiment of the present invention, candidate sequences are screened through verification rules: if the mutation amplitude of adjacent parameters exceeds the preset limit (such as a single-step change exceeding 3V), or the time sequence interval is less than the constraint value (such as 0.3 seconds), then this sequence is excluded. By traversing all candidate sequences, the target parameter combinations that meet the conditions (such as [+1.5V, +0.8V, -0.3V]) are retained to ensure that the regulation actions are smooth and executable.

[0043] Step 206: Extract the final target voltage regulation parameter with the shortest adjacent parameter time sequence interval and the smallest voltage mutation amplitude from the target voltage regulation parameter combination, and convert the final target voltage regulation parameter into a voltage regulation instruction matching the material characteristic parameters; In the embodiment of the present invention, the final target voltage regulation parameter with the shortest adjacent parameter time sequence interval (such as the interval is greater than 0.5 seconds) and the smallest voltage mutation amplitude (such as a single-step change is less than 2V) is selected through a priority sorting algorithm, and it is mapped into a time-voltage value sequence (such as t = 0s → 5V, t = 0.5s → 6.5V) to be converted into a voltage regulation instruction matching the material characteristic parameters that can be directly sent to the electronic control valve.

[0044] The embodiments of the present invention solve the problems of fixed voltage regulation strategy, response lag, and mutation overshoot in traditional solutions, improve the adaptability and stability of tension control, and are particularly suitable for complex working conditions with frequent fluctuations in material properties during the production of high-strength steel plates.

[0045] The present invention provides a specific embodiment. Step 204: Based on the voltage regulation parameter range, combined with the dynamic correlation between the deformation rate and the tension fluctuation threshold interval, optimize and generate a candidate voltage regulation parameter sequence through model predictive control, which specifically includes the following steps: Step 211: According to the numerical range of the deformation rate, divide the tension fluctuation threshold interval into multiple sub-intervals, and each sub-interval corresponds to a specific change range of the deformation rate; In this step, the specific change range refers to the numerical interval (such as 0.05 - 0.1 mm / s) into which the deformation rate is divided, and is used to associate the control strategies of different tension fluctuation threshold intervals.

[0046] In the embodiments of the present invention, through a predefined deformation rate segmentation rule (such as 0 - 0.05 mm / s is the low rate area, 0.05 - 0.1 mm / s is the medium rate area, and above 0.1 mm / s is the high rate area), the tension fluctuation threshold interval (such as high, medium, and low fluctuation intervals) is further refined into multiple sub-intervals, where each sub-interval corresponds to a specific change range of the deformation rate (such as the high rate area corresponds to the deformation rate ≥ 0.1 mm / s), and is used to dynamically adapt the voltage regulation strategy under different deformation rates.

[0047] Step 212: Based on the upper limit of voltage increment and the lower limit of voltage attenuation in the voltage regulation parameter range, generate an initial voltage regulation parameter set that matches the deformation rate of each sub-interval; In this step, the initial voltage regulation parameter set refers to a preliminary voltage regulation parameter group generated based on the deformation rate of the sub-interval, and is generated by linear interpolation between the upper limit of voltage increment and the lower limit of attenuation.

[0048] In the embodiments of the present invention, according to the deformation rate corresponding to the sub-interval (such as the high rate area), between the upper limit of voltage increment (such as +2V) and the lower limit of voltage attenuation (such as -1.5V), a set of initial voltage regulation parameters (such as +2V, +1.5V, +1V) is generated by linear interpolation to form an initial voltage regulation parameter set that matches the current deformation rate, and this set is used to cover the possible voltage regulation requirements within the sub-interval.

[0049] Step 213: Perform parameter expansion on the initial voltage regulation parameter set to generate an expanded voltage regulation parameter set; In this step, the extended voltage regulation parameter set refers to the parameter set obtained by dynamically adjusting the initial voltage regulation parameters by superimposing or attenuating the change amount of the deformation rate, which reflects the influence of the real-time deformation rate on voltage regulation.

[0050] In the embodiment of the present invention, the initial voltage regulation parameters in the initial voltage regulation parameter set are dynamically adjusted by superimposing or attenuating the change amount of the deformation rate to obtain the extended voltage regulation parameter set. For example, in the high-rate region, if the increase amount of the deformation rate (the difference between the current deformation rate and the reference deformation rate) is 0.02 mm / s, then on the basis of the initial voltage regulation parameter (such as +2V), the product of the increase amount of the deformation rate and the preset proportionality factor (such as 0.1V / mm / s) (+0.2V) is superimposed to generate the extended voltage regulation parameter (such as +2.2V); similarly, the attenuation amount of the deformation rate is calculated by the same rule, and finally the extended voltage regulation parameter set (such as [+2.2V, +1.7V, +1.2V]) is formed.

[0051] Step 214: According to the adjustment step constraint, discretize and segment the voltage regulation parameters in the extended voltage regulation parameter set to generate a discretized voltage regulation parameter set; In this step, the discretized voltage regulation parameter set refers to the parameter set obtained by segmenting the continuous voltage regulation parameters in the extended voltage regulation parameter set according to the adjustment step constraint, which adapts to the minimum adjustment accuracy of the electronic control valve (such as 0.5V step).

[0052] In the embodiment of the present invention, the extended voltage regulation parameters are discretized and segmented according to the adjustment step constraint (such as 0.5V). For example, the extended voltage regulation parameter is +2.2V, which is discretized into +2.0V and +2.5V according to the 0.5V step, and finally the discretized voltage regulation parameter set (such as [+2.0V, +1.5V, +1.0V]) is generated to ensure that the discretized voltage regulation parameters meet the requirements of the minimum adjustment accuracy of the electronic control valve.

[0053] Step 215: In the prediction window of the model predictive control, according to the dynamic correlation relationship between the deformation rate and the tension fluctuation threshold interval, select the target voltage regulation parameter that meets the multi-stage tension fluctuation suppression requirement from the discretized voltage regulation parameter set to generate a candidate voltage regulation parameter sequence; In this step, the multi-stage tension fluctuation suppression requirement refers to the different control requirements that need to be simultaneously met in the tension rising, peak maintaining, and attenuation stages in the prediction window of the model predictive control (such as a high voltage increment is required in the rising stage, and a moderate voltage reduction is required in the attenuation stage).

[0054] In the embodiment of the present invention, through the rolling optimization mechanism of model predictive control, within a prediction window (such as 10 seconds), the suppression effect of discretized voltage regulation parameters on the multi-stage tension fluctuation suppression requirement is evaluated, and the target voltage regulation parameters that can simultaneously meet the threshold intervals of each stage (such as the voltage increment in the high fluctuation area ≥ 1.5V) are selected to generate a candidate voltage regulation parameter sequence (such as [+2.0V, +1.5V, -0.5V]).

[0055] The embodiment of the present invention solves the problems of single voltage regulation strategy and inability to adapt to multi-stage tension fluctuations in the traditional scheme, improves the suppression ability of complex tension changes during the rolling process of high-strength steel plates, and at the same time ensures the accuracy and stability of the action of the electric control valve.

[0056] The present invention provides a specific embodiment. Step 103: According to the speed regulation requirement of the driving motor and the real-time load state, the pulse modulation technology is used to generate an optimized pulse sequence, which specifically includes the following steps: Step 301: According to the speed regulation requirement of the driving motor, set the reference waveform parameters of the pulse modulation technology, and the reference waveform parameters include the initial pulse width and the initial pulse interval; In this step, the reference waveform parameters refer to the basic setting values of the initial pulse waveform in the pulse modulation technology, including the initial pulse width and the initial pulse interval. The initial pulse width refers to the high-level duration of a single pulse, which is determined by dividing the target speed by the preset frequency coefficient. For example, 2000 rpm corresponds to 0.5 ms. The initial pulse interval refers to the time difference between the starting points of adjacent pulses, which is used to control the periodic arrangement of pulse signals. For example, a 1 ms interval generates a 1000 Hz pulse frequency.

[0057] In the embodiment of the present invention, according to the speed regulation requirement of the driving motor, the reference waveform parameters of the pulse modulation technology are set to generate a basic control signal matching the speed requirement, where the initial pulse width and the initial pulse interval are calculated by the target speed (such as 2000 rpm) and the preset frequency coefficient (such as the number of pulses per revolution).

[0058] Step 302: Based on the initial pulse width and the initial pulse interval, generate an initial control signal waveform according to the periodic arrangement rule, and the initial control signal waveform is composed of multiple pulse units; In this step, the periodic arrangement rule refers to the rule that the pulse units are cyclically arranged at a fixed time period. For example, it cycles according to 0.5 ms high level + 1 ms low level. The initial control signal waveform refers to the original pulse signal generated by the reference waveform parameters, which contains multiple periodically repeated pulse units. The pulse unit refers to the basic component unit of the pulse signal, which contains a high-level stage and a low-level stage.

[0059] In an embodiment of the present invention, the initial pulse width and interval are cyclically arranged at a fixed period through pulse modulation technology to generate an initial control signal waveform composed of multiple pulse units (each pulse unit includes high and low level stages). For example, a waveform with an initial pulse width of 0.5 ms and an initial pulse interval of 1 ms consists of periodically repeated pulse units of 0.5 ms high level + 1 ms low level.

[0060] Step 303: Calculate the width adjustment amount of each pulse unit in the initial control signal waveform according to the real-time load state of the drive motor, and the width adjustment amount is proportional to the change amount of the real-time load state; In this step, the width adjustment amount refers to the pulse width change value calculated according to the real-time load state of the drive motor, and is proportional to the change amount of the real-time load state (such as current increment). For example, for every 1 A current change, there is a corresponding 0.1 ms width adjustment.

[0061] In an embodiment of the present invention, the real-time load state of the drive motor (such as the load current increasing from 10 A to 15 A) is obtained through a current sensor or a torque sensor, the load change amount (such as +5 A) is calculated, and a width adjustment amount (such as +0.5 ms) is generated according to a preset ratio (such as for every 1 A load change, there is a corresponding 0.1 ms pulse width adjustment). This width adjustment amount is proportional to the change amount of the real-time load state to ensure that the pulse width dynamically adapts to the load fluctuation.

[0062] Step 304: Superimpose the width adjustment amount of each pulse unit in the initial control signal waveform and the corresponding initial pulse width to generate a first adjusted pulse unit, and reorganize the first adjusted pulse units to generate a transition pulse sequence; In this step, the first adjusted pulse unit refers to the pulse unit after superimposing the initial pulse width with the adjustment amount. The transition pulse sequence refers to the intermediate pulse signal generated by reorganizing the first adjusted pulse units according to the initial pulse interval, and the interval continuity needs to be further optimized.

[0063] In an embodiment of the present invention, the initial pulse width of each pulse unit (such as 0.5 ms) is added to the width adjustment amount (such as +0.5 ms) to generate a first adjusted pulse unit (such as 1.0 ms high level), and is reorganized into a transition pulse sequence according to the original periodic arrangement rule (such as 1 ms interval). The reorganized transition pulse sequence retains the initial pulse interval, but the pulse width has been adjusted according to the load state.

[0064] Step 305: Smooth the interval between adjacent first adjusted pulse units in the transition pulse sequence to eliminate the abrupt interval between adjacent first adjusted pulse units and generate an optimized pulse sequence; In this step, the mutation interval refers to the abnormal time difference between adjacent first adjusted pulse units in the transition pulse sequence that does not meet the minimum interval setting value. For example, the interval between the end of the previous pulse and the start of the next pulse is less than 0.3 ms.

[0065] In the embodiment of the present invention, the interval mutation between adjacent first adjusted pulse units is detected by an interpolation algorithm (such as the interval between the end time of the previous pulse and the start time of the next pulse is less than 0.3 ms), and the interval is extended to be above a preset threshold (such as 1 ms). For example, the start time of the next pulse is shifted from 2.5 ms to 3.0 ms, and an optimized pulse sequence with continuous timing is generated after eliminating the interval mutation.

[0066] The embodiment of the present invention solves the problems of inaccurate motor speed and signal mutation caused by load fluctuations in traditional pulse modulation technology, improves the stability and response accuracy of driving motor control, and adapts to the complex working conditions of frequent load fluctuations in high-strength steel plate production.

[0067] The present invention provides a specific embodiment, step 104, to determine the duty ratio adjustment direction and the duty ratio adjustment ratio according to the voltage regulation instruction to adjust the optimized pulse sequence to obtain a pulse sequence with an adjusted duty ratio, which specifically includes the following steps: Step 401: Take the absolute value of the numerical change amount of the voltage regulation instruction as the duty ratio adjustment ratio, and divide the numerical change amount into a positive change amount and a negative change amount according to a preset positive threshold and a preset negative threshold. Take the positive change amount as the duty ratio increasing direction and the negative change amount as the duty ratio decreasing direction; In this step, the numerical change amount refers to the difference between the current value of the voltage regulation instruction and the value at the previous moment, which is used to quantify the dynamic change amplitude of the voltage regulation requirement. The preset positive threshold refers to the minimum change amount (such as +1 V) for determining that the voltage regulation requirement is a positive increase. Below this value, the duty ratio increase is not triggered. The preset negative threshold refers to the maximum change amount (such as -0.5 V) for determining that the voltage regulation requirement is a negative decrease. Above this value, the duty ratio decrease is not triggered. The positive change amount refers to the part of the numerical change amount that exceeds the preset positive threshold, which reflects the regulation requirement for voltage increase. The negative change amount refers to the part of the numerical change amount that is lower than the preset negative threshold, which reflects the regulation requirement for voltage decrease. The duty ratio increasing direction refers to the adjustment trend in which the high-level duration of the pulse needs to increase, corresponding to the positive voltage regulation requirement. The duty ratio decreasing direction refers to the adjustment trend in which the high-level duration of the pulse needs to decrease, corresponding to the negative voltage regulation requirement.

[0068] In an embodiment of the present invention, the numerical change amount is calculated by analyzing the difference between the current voltage value of the voltage regulation instruction and the voltage value at the previous time point. For example, if the current voltage is 8V and the previous voltage was 5V, the numerical change amount is +3V. If the numerical change amount is greater than a preset positive threshold (such as +1V), it is determined as a positive change amount, corresponding to the direction of increasing duty cycle; if it is less than a preset negative threshold (such as -0.5V), it is determined as a negative change amount, corresponding to the direction of decreasing duty cycle. The duty cycle adjustment ratio is determined by the ratio of the absolute value of the numerical change amount to a preset reference value (such as 10% ratio corresponding to every 1V).

[0069] Step 402: Based on the duty cycle adjustment direction and the duty cycle adjustment ratio, establish a correction rule for the high-level duration corresponding to each pulse unit in the optimized pulse sequence, where the duty cycle adjustment direction includes the direction of increasing duty cycle and the direction of decreasing duty cycle; In this step, the high-level duration correction rule refers to the mathematical relationship (such as linear superposition or attenuation) that defines how the duty cycle adjustment direction and the duty cycle adjustment ratio affect the high-level duration.

[0070] In an embodiment of the present invention, when defining the direction of increasing duty cycle, the high-level duration correction value is the product of the initial high-level duration and the duty cycle adjustment ratio. For example, if the initial high-level duration is 1ms and the duty cycle adjustment ratio is 30%, the high-level duration correction value is 0.3ms; when in the direction of decreasing duty cycle, the high-level duration correction value is the attenuated product of the initial high-level duration and the duty cycle adjustment ratio. For example, if the initial high-level duration is 1ms and the duty cycle adjustment ratio is 20%, the high-level duration correction value is 0.8ms. This high-level duration correction rule ensures that the duty cycle adjustment amount strictly matches the voltage change requirement.

[0071] Step 403: According to the high-level duration correction rule, correct the high-level duration of the pulse unit in the optimized pulse sequence to generate a second adjusted pulse unit; In this step, the high-level duration refers to the time length of the high-level signal in a single pulse unit, which determines the duty cycle. The second adjusted pulse unit refers to the pulse unit after adjusting the high-level duration according to the high-level duration correction rule. For example, it increases from 1ms to 1.3ms.

[0072] In an embodiment of the present invention, according to the high-level duration correction rule, the initial high-level duration (such as 1ms) of each pulse unit is superimposed with the high-level duration correction value (such as +0.3ms) to generate a second adjusted pulse unit, and the initial pulse interval remains unchanged. For example, the original pulse unit in the optimized pulse sequence is 1ms high level + 2ms low level, and it is adjusted to 1.3ms high level + 2ms low level.

[0073] Step 404: Verify the second adjusted pulse unit. If the mutation amplitude of the high-level duration of adjacent second adjusted pulse units exceeds the preset mutation threshold, smooth the mutation amplitude, and finally generate a verified pulse unit sequence; In this step, the mutation amplitude refers to the difference in the high-level duration of adjacent second adjusted pulse units, which is used to detect whether the signal jump exceeds the allowable range. The preset mutation threshold refers to the maximum allowable difference in high-level duration (such as 0.3 ms). If it exceeds this value, smoothing processing is required. The verified pulse unit sequence refers to the set of second adjusted pulse units after smoothing processing, ensuring that the change in adjacent high-level durations is gentle.

[0074] In the embodiment of the present invention, detect the difference in the high-level duration of adjacent second adjusted pulse units. For example, if the high-level duration of the previous adjusted pulse unit is 1.3 ms and the next one is 0.8 ms, the difference in high-level duration is 0.5 ms. If this value exceeds the preset mutation threshold (such as 0.3 ms), the difference is distributed to multiple pulse units through an interpolation algorithm (such as linear interpolation) to generate a verified pulse unit sequence.

[0075] Step 405: Recombine the verified pulse unit sequence to obtain a pulse sequence with adjusted duty cycle; In the embodiment of the present invention, recombine the verified pulse units according to the original periodic arrangement rule (such as a 2 ms interval) to ensure the continuity of the timing and the stability of the motor control signal. For example, the verified pulse unit sequence is 1.1 ms high level + 2 ms low level, and it is recombined into a continuous signal for output.

[0076] The embodiment of the present invention solves the problems in the traditional solution that the duty cycle adjustment is disconnected from the voltage change and the signal mutation causes control jitter, improves the synchronization accuracy of the motor speed and the tension adjustment amount, and adapts to the complex working conditions of rapid voltage jump in high-strength steel plate production.

[0077] The present invention provides a specific embodiment. In step 105, use the voltage regulation instruction to correct the trigger phase of the pulse sequence with adjusted duty cycle so that the speed of the driving motor is synchronously matched with the tension adjustment amount, which specifically includes the following steps: Step 501: According to the waveform data of the voltage value changing with time in the voltage regulation instruction, identify the starting time point when the voltage value changes from low to high as the rising edge time point, and the starting time point when the voltage value changes from high to low as the falling edge time point; In this step, the waveform data refers to the numerical sequence of the voltage values of the voltage regulation command changing with time, which is used to reflect the timing characteristics of the electric control valve's action and is obtained by real-time collecting voltage signals. The rising edge time point refers to the starting moment when the voltage value jumps from a low level to a high level, and is used to identify the start timing of the voltage regulation action. The falling edge time point refers to the starting moment when the voltage value jumps from a high level to a low level, and is used to identify the end timing of the voltage regulation action.

[0078] In the embodiment of the present invention, by analyzing the waveform data of the voltage regulation command, the turning points of the voltage values are detected. When the voltage value jumps from a state lower than the value of the previous moment to a state higher than the value of the next moment, this time point is recorded as the rising edge time point; when the voltage value jumps from a state higher than the value of the previous moment to a state lower than the value of the next moment, it is recorded as the falling edge time point. For example, the starting moment t = 2s when the voltage value rises from 5V to 7V is the rising edge time point.

[0079] Step 502: Calculate the trigger phase correction amount of each pulse unit in the pulse sequence after adjusting the duty cycle according to the rising edge time point and the falling edge time point; In this step, the trigger phase correction amount refers to the time offset amount that the trigger time point of the pulse unit in the pulse sequence after adjusting the duty cycle needs to be adjusted, which is calculated by multiplying the timing distance by the correction coefficient and reflects the synchronous requirement of the voltage regulation command for the motor action timing.

[0080] In the embodiment of the present invention, by measuring the time difference between the initial trigger time point of the pulse unit and the nearest rising edge or falling edge time point, the timing distance is obtained, and this timing distance is multiplied by the defined trigger phase correction coefficient, such as 0.1ms phase correction corresponding to each millisecond time difference, to obtain the trigger phase correction amount. For example, if the initial trigger time point of the pulse unit in the pulse sequence after adjusting the duty cycle is 3ms away from the nearest rising edge time point and the preset correction coefficient is 0.1, then the trigger phase correction amount is 0.3ms.

[0081] Step 503: Superimpose the trigger phase correction amount of each pulse unit in the pulse sequence after adjusting the duty cycle with the corresponding initial trigger time point to generate a third adjusted pulse unit; In this step, the third adjusted pulse unit refers to the pulse unit after superimposing the initial trigger time point with the trigger phase correction amount, which is used to preliminarily align the action timings of the electric control valve and the motor.

[0082] In an embodiment of the present invention, the initial trigger time point of each pulse unit (e.g., t = 5 ms) is added to the trigger phase correction amount (e.g., +0.3 ms) to generate an adjusted pulse unit, whose trigger time point is t = 5.3 ms. The adjusted pulse unit maintains the original high-level duration and interval, and only the trigger time point is corrected. For example, the pulse sequence after adjusting the duty cycle is 1 ms high level at t = 5 ms, which is adjusted to 1 ms high level at t = 5.3 ms.

[0083] Step 504: Inspect the third adjusted pulse unit. If the trigger time interval between adjacent third adjusted pulse units is less than the preset minimum interval threshold, then shift the trigger time point of the latter third adjusted pulse unit backward until the preset minimum interval threshold is satisfied, obtaining a fourth adjusted pulse unit; In this step, the trigger time interval refers to the time difference between the trigger time points of adjacent third adjusted pulse units and is used to detect timing conflicts. The preset minimum interval threshold refers to the minimum allowable trigger time interval to prevent control conflicts caused by overlapping pulse signals. The fourth adjusted pulse unit refers to the pulse unit generated by shifting the over-limit trigger time point to ensure that the timing interval meets the constraint conditions.

[0084] In an embodiment of the present invention, detect the trigger time interval between adjacent pulse units. For example, the previous trigger time is t = 5.3 ms, the next trigger time is t = 5.5 ms, and the interval is 0.2 ms. If it is less than the preset minimum interval threshold, such as 0.5 ms, then shift the trigger time point of the latter pulse unit backward until the preset minimum interval threshold is satisfied, such as t = 5.8 ms, to generate a fourth adjusted pulse unit. The shifting operation ensures the timing continuity of the pulse sequence through an interpolation algorithm.

[0085] Step 505: Recombine the fourth adjusted pulse units to generate a pulse sequence with a corrected trigger phase. The trigger time point of the pulse sequence with the corrected trigger phase is synchronized with the waveform change of the voltage regulation command, so that the rotational speed of the drive motor is synchronously matched with the tension adjustment amount; In this step, the pulse sequence with the corrected trigger phase refers to the finally generated pulse signal, and its trigger time point is strictly synchronized with the waveform change of the voltage regulation command.

[0086] In an embodiment of the present invention, rearrange the shifted fourth adjusted pulse units according to the original cycle arrangement rule (e.g., one pulse unit every 2 ms) to finally generate a pulse sequence with a corrected trigger phase. For example, the pulse sequence with the corrected trigger phase is 1 ms high level at t = 5.3 ms, 1 ms high level at t = 5.8 ms, ensuring that the trigger time point is strictly synchronized with the waveform change of the voltage regulation command.

[0087] In the embodiment of the present invention, by correcting the pulse trigger phase and resolving the timing conflict, precise synchronization between the voltage regulation of the electric control valve and the rotational speed of the drive motor is achieved, solving the problems of control signal conflict, inaccurate rotational speed, and inaccurate tension caused by timing deviation in the traditional solution, improving the stability of the system's cooperative control, and adapting to the complex working conditions of rapid voltage jump and frequent load fluctuation in high-strength steel plate production.

[0088] The present invention provides a specific embodiment. In step 502, according to the rising edge time point and the falling edge time point, calculate the trigger phase correction amount of each pulse unit in the pulse sequence after adjusting the duty cycle, which specifically includes the following steps: Step 511: Calculate the absolute value of the voltage value change corresponding to the rising edge time point and the falling edge time point respectively; In this step, the absolute value of the voltage value change refers to the voltage change amplitude of the voltage regulation instruction at the rising edge or falling edge time point, which is calculated by taking the absolute value of the difference between the current voltage value and the voltage value at the previous moment.

[0089] In the embodiment of the present invention, by obtaining the voltage values of the voltage regulation instruction at the rising edge time point (for example, when t = 2s, the voltage rises from 5V to 8V) and the falling edge time point (for example, when t = 4s, the voltage drops from 8V to 6V), and calculating the absolute value of their change. For example, the absolute value of the change at the rising edge is |8V - 5V| = 3V, and the absolute value of the change at the falling edge is |6V - 8V| = 2V. This absolute value of the voltage value change is used to quantify the intensity of the voltage regulation action and reflect the dynamic amplitude of the adjustment requirement of the electric control valve.

[0090] Step 512: Define a trigger phase correction coefficient according to the absolute value of the voltage value change; In this step, the trigger phase correction coefficient refers to a scaling factor set according to the absolute value of the voltage value change, which is used to map the voltage regulation requirement to a time correction amount. For example, each 1V change corresponds to a coefficient of 0.05ms.

[0091] In the embodiment of the present invention, through a preset proportional relationship, such as each 1V change corresponding to a correction coefficient of 0.05ms, the absolute value of the voltage value change is mapped to the trigger phase correction coefficient. For example, the absolute value of the change at the rising edge of 3V corresponds to a trigger phase correction coefficient of 0.15ms, and the absolute value of the change at the falling edge of 2V corresponds to a trigger phase correction coefficient of 0.10ms. The larger the trigger phase correction coefficient, the stronger the voltage regulation requirement and the greater the trigger phase correction amplitude.

[0092] Step 513: Calculate the initial trigger phase correction amount for each pulse unit in the pulse sequence with the adjusted duty cycle according to the trigger phase correction coefficient, the initial trigger time point corresponding to each pulse unit in the pulse sequence with the adjusted duty cycle, the first timing distance between the initial trigger time point and the rising edge time point, and the second timing distance between the initial trigger time point and the falling edge time point. In this step, the first timing distance refers to the time difference between the initial trigger time point of the pulse unit and the nearest rising edge time point, which is used to measure the timing correlation between this pulse and the voltage increase action. The second timing distance refers to the time difference between the initial trigger time point of the pulse unit and the nearest falling edge time point, which is used to measure the timing correlation between this pulse and the voltage decrease action. The initial trigger phase correction amount refers to the preliminary correction value calculated through the timing distance and the trigger phase correction coefficient, and further constraints are required to ensure compliance with the timing rules of the pulse sequence.

[0093] In the embodiment of the present invention, by measuring the first timing distance between the initial trigger time point of each pulse unit in the pulse sequence with the adjusted duty cycle and the nearest rising edge time point, for example, the first timing distance between the initial pulse trigger time t = 2.3 s and the rising edge time point t = 2.0 s is 0.3 s, and measuring the second timing distance between the initial trigger time point and the nearest falling edge time point, for example, the second timing distance between the initial pulse trigger time t = 2.3 s and the falling edge time point t = 4.0 s is 1.7 s, select the smaller first timing distance (0.3 s) and multiply it by the corresponding trigger phase correction coefficient (0.15 ms) to obtain the initial trigger phase correction amount, that is, 0.3 s × 0.15 ms / s = 0.045 ms.

[0094] Step 514: Perform boundary constraint processing on the initial trigger phase correction amount to obtain the trigger phase correction amount. In the embodiment of the present invention, the initial trigger phase correction amount is restricted by a preset allowable correction range (such as ±0.05 ms). For example, if the initial trigger phase correction amount is +0.045 ms, it is directly output; if the initial trigger phase correction amount is +0.06 ms, it is scaled to +0.05 ms. The constrained trigger phase correction amount ensures that the pulse trigger time point does not exceed the periodic arrangement rule of the pulse sequence.

[0095] The embodiment of the present invention solves the problem of the disconnection between the pulse trigger phase and the voltage regulation action in the traditional scheme, improves the timing synchronization accuracy of the electro-control valve and the driving motor, avoids control signal conflicts caused by phase deviation, and adapts to the complex requirements of rapid voltage jump in high-strength steel plate production.

[0096] Figure 2FIG. 0 is a schematic structural diagram of a dynamic optimization system for steel plate tension based on model predictive control provided by an embodiment of the present invention, as Figure 2 shown. The system includes: An acquisition module 21, configured to acquire material characteristic parameters of high-strength steel plates, where the material characteristic parameters include hardness parameters and thickness parameters; A prediction module 22, configured to use model predictive control according to the material characteristic parameters to predict the tension change of high-strength steel plates and define the voltage adjustment parameter range of an electromagnetic control valve, so as to generate a voltage adjustment instruction matching the material characteristic parameters; A generation module 23, configured to generate an optimized pulse sequence by using pulse modulation technology according to the rotational speed adjustment requirement of a driving motor and the real-time load state; An adjustment module 24, configured to determine the duty ratio adjustment direction and the duty ratio adjustment ratio according to the voltage adjustment instruction, so as to adjust the optimized pulse sequence to obtain a pulse sequence with an adjusted duty ratio A correction module 25, configured to use the voltage adjustment instruction to correct the trigger phase of the pulse sequence with the adjusted duty ratio, so that the rotational speed of the driving motor is synchronously matched with the tension adjustment amount, and realize the synchronous adaptive optimization of the tension control response speed and the material characteristic change during the production process of the high-strength steel plate.

[0097] Figure 2 The dynamic optimization system for steel plate tension based on model predictive control can execute Figure 1 The dynamic optimization method for steel plate tension based on model predictive control described in the embodiment shown. Its implementation principle and technical effects will not be elaborated. For the dynamic optimization system for steel plate tension based on model predictive control in the above embodiment, the specific ways for each module and unit to execute operations have been described in detail in the embodiment related to this method, and will not be elaborated here.

[0098] In a possible design, Figure 2 The dynamic optimization system for steel plate tension based on model predictive control described in the embodiment shown can be implemented as a computing device, as Figure 3 shown. The computing device may include a storage component 31 and a processing component 32; The storage component 31 stores one or more computer instructions, where the one or more computer instructions are called and executed by the processing component 32.

[0099] The processing component 32 is configured to: obtain the material property parameters of the high-strength steel plate, where the material property parameters include hardness parameters and thickness parameters; according to the material property parameters, use model predictive control to predict the tension change of the high-strength steel plate and define the voltage regulation parameter range of the electronic control valve, so as to generate a voltage regulation instruction matching the material property parameters; according to the speed regulation requirement of the drive motor and the real-time load state, use pulse modulation technology to generate an optimized pulse sequence; according to the voltage regulation instruction, determine the duty cycle adjustment direction and the duty cycle adjustment ratio to adjust the optimized pulse sequence to obtain a pulse sequence with an adjusted duty cycle; use the voltage regulation instruction to correct the trigger phase of the pulse sequence with the adjusted duty cycle, so that the speed of the drive motor is synchronously matched with the tension adjustment amount, and realize the synchronous adaptive optimization of the tension control response speed and the material property change of the high-strength steel plate during the production process.

[0100] Among them, the processing component 32 may include one or more processors to execute computer instructions to complete all or part of the steps in the above method. Of course, the processing component may also be implemented by one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic components for executing the above method.

[0101] The storage component 31 is configured to store various types of data to support the operation of the terminal. The storage component can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.

[0102] Of course, the computing device may also necessarily include other components, such as input / output interfaces, display components, communication components, etc.

[0103] The input / output interface provides an interface between the processing component and the peripheral interface module, and the above peripheral interface module may be an output device, an input device, etc.

[0104] The communication component is configured to facilitate wired or wireless communication between the computing device and other devices, etc.

[0105] Among them, the computing device may be a physical device or an elastic computing host provided by a cloud computing platform, etc. At this time, the computing device may refer to a cloud server, and the above processing component, storage component, etc. may be basic server resources leased or purchased from a cloud computing platform.

[0106] An embodiment of the present invention further provides a computer storage medium storing a computer program, and when the computer program is executed by a computer, it can implement the above-mentioned Figure 1 A method for dynamically optimizing the steel plate tension based on model predictive control in the embodiment shown.

[0107] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the above-described systems, devices, and units can refer to the corresponding processes in the foregoing method embodiments, and will not be elaborated herein.

[0108] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art can understand and implement it without creative labor.

[0109] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the essence of the above technical solution, or the part that contributes to the prior art, can be embodied in the form of a software product, which can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0110] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A dynamic optimization method for steel plate tension based on model predictive control, characterized in that Including: Obtaining the material property parameters of the high-strength steel plate, where the material property parameters include hardness parameters and thickness parameters; According to the material property parameters, using model predictive control, predicting the tension change of the high-strength steel plate and defining the voltage regulation parameter range of the electro-control valve to generate a voltage regulation instruction matching the material property parameters; According to the speed regulation requirement of the driving motor and the real-time load state, using pulse modulation technology to generate an optimized pulse sequence; According to the voltage regulation instruction, determining the duty cycle adjustment direction and the duty cycle adjustment ratio to adjust the optimized pulse sequence to obtain a pulse sequence with an adjusted duty cycle; Using the voltage regulation instruction to correct the trigger phase of the pulse sequence with the adjusted duty cycle, so that the speed of the driving motor is synchronously matched with the tension adjustment amount, realizing the synchronous adaptive optimization of the tension control response speed and the material property change during the production process of the high-strength steel plate.

2. The method according to claim 1, characterized in that According to the material property parameters, using model predictive control, predicting the tension change of the high-strength steel plate and defining the voltage regulation parameter range of the electro-control valve to generate a voltage regulation instruction matching the material property parameters, including: Based on the hardness parameters and thickness parameters in the material property parameters, using model predictive control to construct a dynamic relationship model between the deformation rate and the tension value; Within the prediction window of model predictive control, using the dynamic relationship model to calculate the rising rate, peak interval and decay rate of the tension fluctuation to divide the tension fluctuation threshold interval; Based on the tension fluctuation threshold interval and the optimization objective of model predictive control, defining the voltage regulation parameter range of the electro-control valve, and the voltage regulation parameter range includes the upper limit of voltage increment, the lower limit of voltage decay and the adjustment step constraint; Based on the voltage regulation parameter range, combining the dynamic correlation relationship between the deformation rate and the tension fluctuation threshold interval, optimizing and generating a candidate voltage regulation parameter sequence through model predictive control; Performing a continuity check on the candidate voltage regulation parameter sequence to generate a target voltage regulation parameter combination that meets the voltage mutation amplitude limit and the adjacent parameter time sequence interval constraint; Extracting the final target voltage regulation parameter with the shortest adjacent parameter time sequence interval and the smallest voltage mutation amplitude from the target voltage regulation parameter combination, and converting the final target voltage regulation parameter into a voltage regulation instruction matching the material property parameters.

3. The method according to claim 2, wherein Based on the voltage regulation parameter range, combining the dynamic correlation relationship between the deformation rate and the tension fluctuation threshold interval, optimizing and generating a candidate voltage regulation parameter sequence through model predictive control, including: According to the numerical range of the deformation rate, dividing the tension fluctuation threshold interval into multiple sub-intervals, and each sub-interval corresponds to a specific change range of the deformation rate; Based on the upper limit of voltage increment and the lower limit of voltage decay in the voltage regulation parameter range, generating an initial voltage regulation parameter set matching the deformation rate of each sub-interval; Performing parameter expansion on the initial voltage regulation parameter set to generate an expanded voltage regulation parameter set; According to the adjustment step constraint, discretize and segment the voltage adjustment parameters in the expanded voltage adjustment parameter set to generate a discretized voltage adjustment parameter set; Within the prediction window of model predictive control, according to the dynamic correlation relationship between the shape change rate and the tension fluctuation threshold interval, select the target voltage adjustment parameters that meet the multi-stage tension fluctuation suppression requirements from the discretized voltage adjustment parameter set to generate a candidate voltage adjustment parameter sequence.

4. The method according to claim 1, wherein According to the rotational speed adjustment requirement of the drive motor and the real-time load state, use pulse modulation technology to generate an optimized pulse sequence, including: According to the rotational speed adjustment requirement of the drive motor, set the reference waveform parameters of the pulse modulation technology, and the reference waveform parameters include the initial pulse width and the initial pulse interval; Based on the initial pulse width and the initial pulse interval, generate an initial control signal waveform according to the periodic arrangement rule, and the initial control signal waveform is composed of multiple pulse units; According to the real-time load state of the drive motor, calculate the width adjustment amount of each pulse unit in the initial control signal waveform, and the width adjustment amount is proportional to the change amount of the real-time load state; Superimpose the width adjustment amount of each pulse unit in the initial control signal waveform and the corresponding initial pulse width to generate a first adjusted pulse unit, and recombine the first adjusted pulse unit to generate a transition pulse sequence; Smooth the interval between adjacent first adjusted pulse units in the transition pulse sequence to eliminate the sudden interval between adjacent first adjusted pulse units and generate an optimized pulse sequence.

5. The method according to claim 1, wherein According to the voltage adjustment instruction, determine the duty cycle adjustment direction and the duty cycle adjustment ratio to adjust the optimized pulse sequence to obtain a pulse sequence with an adjusted duty cycle, including: Take the absolute value of the numerical change amount of the voltage adjustment instruction as the duty cycle adjustment ratio, and according to the preset positive threshold and the preset negative threshold, divide the numerical change amount into a positive change amount and a negative change amount, take the positive change amount as the duty cycle increase direction, and take the negative change amount as the duty cycle decrease direction; Based on the duty cycle adjustment direction and the duty cycle adjustment ratio, establish a high-level duration correction rule corresponding to each pulse unit in the optimized pulse sequence, and the duty cycle adjustment direction includes the duty cycle increase direction and the duty cycle decrease direction; According to the high-level duration correction rule, correct the high-level duration of the pulse unit in the optimized pulse sequence to generate a second adjusted pulse unit; Verify the second adjusted pulse unit. If the mutation amplitude of the high-level duration of adjacent second adjusted pulse units exceeds the preset mutation threshold, smooth the mutation amplitude, and finally generate a verified pulse unit sequence; Recombine the verified pulse unit sequence to obtain a pulse sequence with an adjusted duty cycle.

6. The method according to claim 1, characterized in that Use the voltage adjustment instruction to correct the trigger phase of the pulse sequence with the adjusted duty cycle so that the rotational speed of the drive motor is synchronously matched with the tension adjustment amount, including: According to the waveform data of the voltage value varying with time in the voltage regulation instruction, identify the starting time point when the voltage value changes from low to high as the rising edge time point, and the starting time point when the voltage value changes from high to low as the falling edge time point; According to the rising edge time point and the falling edge time point, calculate the trigger phase correction amount of each pulse unit in the pulse sequence after adjusting the duty cycle; Superimpose the trigger phase correction amount of each pulse unit in the pulse sequence after adjusting the duty cycle with the corresponding initial trigger time point to generate a third adjusted pulse unit; Inspect the third adjusted pulse unit. If the trigger time interval between adjacent third adjusted pulse units is less than the preset minimum interval threshold, then shift the trigger time point of the latter third adjusted pulse unit backward until the preset minimum interval threshold is satisfied to obtain a fourth adjusted pulse unit; Recombine the fourth adjusted pulse units to generate a pulse sequence with the trigger phase corrected. The trigger time point of the pulse sequence with the trigger phase corrected is synchronized with the waveform change of the voltage regulation instruction, so that the rotational speed of the drive motor is synchronously matched with the tension adjustment amount.

7. The method according to claim 6, wherein According to the rising edge time point and the falling edge time point, calculating the trigger phase correction amount of each pulse unit in the pulse sequence after adjusting the duty cycle includes: Calculate the absolute value of the voltage value change corresponding to the rising edge time point and the falling edge time point respectively; Define a trigger phase correction coefficient according to the absolute value of the voltage value change; According to the trigger phase correction coefficient, the initial trigger time point corresponding to each pulse unit in the pulse sequence after adjusting the duty cycle, the first timing distance between the initial trigger time point and the rising edge time point, and the second timing distance between the initial trigger time point and the falling edge time point, calculate the initial trigger phase correction amount of each pulse unit in the pulse sequence after adjusting the duty cycle; Perform boundary constraint processing on the initial trigger phase correction amount to obtain the trigger phase correction amount.

8. A dynamic optimization system for steel plate tension based on model predictive control, characterized in that, including: An acquisition module for acquiring the material characteristic parameters of high-strength steel plates, where the material characteristic parameters include hardness parameters and thickness parameters; A prediction module for predicting the tension change of high-strength steel plates and defining the voltage regulation parameter range of the electro-control valve by using model predictive control according to the material characteristic parameters, so as to generate a voltage regulation instruction matching the material characteristic parameters; A generation module for generating an optimized pulse sequence by using pulse modulation technology according to the rotational speed regulation requirement of the drive motor and the real-time load state; An adjustment module for determining the duty cycle adjustment direction and the duty cycle adjustment ratio according to the voltage regulation instruction to adjust the optimized pulse sequence to obtain a pulse sequence after adjusting the duty cycle; A correction module for correcting the trigger phase of the pulse sequence after adjusting the duty cycle by using the voltage regulation instruction, so that the rotational speed of the drive motor is synchronously matched with the tension adjustment amount, and realizing the synchronous adaptive optimization of the tension control response speed and the material characteristic change of the high-strength steel plate during the production process.

9. A computing device, characterized in that, It includes a processing component and a storage component; the storage component stores one or more computer instructions; the one or more computer instructions are used to be called and executed by the processing component to implement a dynamic optimization method for steel plate tension based on model predictive control as described in any one of claims 1 to 7.

10. A computer storage medium, characterized in that, A computer program is stored, and when the computer program is executed by a computer, it implements a dynamic optimization method for steel plate tension based on model predictive control as described in any one of claims 1 to 7.

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