Digital control system of strip rolling equipment

Abstract

The invention belongs to the technical field of automatic control, and particularly relates to a digital control system for strip coiling equipment, which comprises the following steps of: firstly, comprehensively acquiring strip tension data and state characteristic information by combining a tension sensing assembly and image acquisition equipment, dynamically adjusting a braking torque parameter, and then, acquiring a dynamic control signal by taking the linear speed of a coiling machine as a target signal; the speed of the uncoiling machine and the speed of the traction roller are synchronously aligned through a following strategy, then a taper tension control mode is adopted, the tension value is dynamically adjusted in combination with real-time coiling diameter parameters, the tension stability and the coiling regularity in the coiling process are ensured, and finally the strip deviation problem is detected and processed in real time according to a closed-loop deviation correction mechanism. The equipment control strategy in the strip coiling process is deeply bound with uncoiling control, synchronous coordination, coiling control and a deviation correction core module, and the integrated control capability of multivariable coordination and self-adaptive optimization is achieved, so that the automation and intelligence level of the strip coiling process is effectively improved.

Description

Technical Field

[0001] This invention belongs to the field of automation control technology, specifically a digital control system for strip winding equipment. Background Technology

[0002] With the widespread application of strip winding technology in the manufacturing of basic materials such as metal foil, polymer films, and composite materials, its control precision and stability have become key factors affecting product quality and production efficiency in industries such as electronics, new energy, automobiles, and packaging. The strip winding process involves the coordinated control of multiple stages, including unwinding, traction, and winding. It requires stable tension output, precise speed synchronization, dynamic roll diameter adaptation, and real-time deviation correction. Mismatch in control at any stage can lead to strip wrinkling, tensile deformation, or even strip breakage, seriously affecting the quality of the finished product.

[0003] Currently, most existing control systems for rolling equipment in this field adopt a distributed control architecture, relying on traditional sensor feedback and static control models. This makes it difficult to cope with the complex control requirements brought about by changes in material properties, operating condition disturbances, and equipment dynamic response delays. In particular, in high-speed and high-precision rolling scenarios, the following significant defects are observed: 1. Existing technology for equipment control strategies in the strip rolling process is distributed in an island-like manner, lacking integrated control capabilities for multi-variable collaboration and adaptive optimization: In terms of tension control, existing systems usually rely solely on the detection signals of tension sensors for feedback adjustment, without introducing visual perception information of the actual physical state of the strip. This results in the system being unable to identify and compensate for strip morphological abnormalities caused by non-tension factors in real time, causing tension control lag, overshoot, or oscillation, making it difficult to achieve stability and adaptive adjustment in the unwinding process.

[0004] In terms of speed coordination, most existing systems have not established a unified master speed benchmark and follow-up control mechanism. The uncoiler, traction roller and coiler often operate independently or adopt a simple master-slave control strategy, lacking high-precision dynamic matching capability of linear speed. This leads to cumulative speed errors among multiple devices, which can easily cause strip tension fluctuations or quality defects such as stacking and stretching.

[0005] In terms of winding control, existing technologies typically employ a constant tension setting strategy, failing to consider the significant impact of the continuous increase in roll diameter during winding on the actual tension distribution. They also lack the ability to calculate and dynamically adjust the taper tension based on the real-time roll diameter, resulting in uneven stress distribution between roll layers, leading to problems such as loose inner layers and tight outer layers, irregular roll shape, or core collapse.

[0006] 2. Existing technologies for the correction system of strip winding equipment mostly rely on threshold-triggered switch control, which lacks closed-loop feedback and multi-level response mechanisms. This can easily lead to increased strip deviation or frequent equipment start-ups and shutdowns due to response delays or over-adjustment. Summary of the Invention

[0007] To overcome the shortcomings of the prior art, embodiments of the present invention provide a digital control system for strip winding equipment, which can effectively solve the problems involved in the prior art.

[0008] The objective of this invention can be achieved through the following technical solution: a digital control system for strip winding equipment, comprising: an unwinding control module, a synchronization coordination module, a take-up control module, and a deviation correction module.

[0009] The unwinding control module is connected to the synchronization coordination module, the synchronization coordination module is connected to the winding control module, and the winding control module is connected to the deviation correction module.

[0010] Unwinding control module: Configures the uncoiler frequency converter to output reverse torque, acquires tension data at each monitoring point through tension sensing components, synchronously collects the state characteristic information of the unwinding strip, and dynamically adjusts the braking torque based on the matching degree between tension data and state characteristic information to maintain stable unwinding tension.

[0011] Synchronization and Coordination Module: The winding machine is set as the speed master device, and the unwinding machine and traction roller are controlled to track the winding line speed through a follow control strategy to achieve synchronous alignment of the operating speeds of multiple devices.

[0012] The winding control module adopts a tapered tension control method to obtain the current winding diameter parameters in real time. It calculates the real-time tension value by combining the initial tension parameters and the preset maximum winding diameter parameters. The real-time tension value is determined based on the correlation between the initial tension value and the ratio of the current winding diameter to the maximum winding diameter.

[0013] Deviation correction module: detects the deviation parameter of the strip, starts the closed-loop deviation correction control mechanism, and performs corresponding deviation correction operations based on the comparison result of the deviation parameter and the preset warning threshold.

[0014] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: (1) The present invention breaks through the existing single control mode that relies on tension data, and achieves dynamic adjustment of braking torque by integrating tension sensing and visual state recognition, and combining tension data and strip state feature information. It improves the accuracy and adaptability of tension control through multimodal perception of the strip.

[0015] (2) This invention clearly defines the winding machine as the speed control device, and uses its linear speed as the only following reference for the unwinding machine and traction roller. This eliminates speed adaptation conflicts caused by multiple devices not having a unified reference from the source. After synchronization is completed, the speed deviation is still monitored. When it exceeds the allowable range, the speed will be automatically restarted and adjusted. The equipment can be maintained in a long-term stable operation without manual intervention, reducing maintenance costs and failure risks.

[0016] (3) The present invention uses a conical control method to determine the winding tension in real time based on the correlation between the initial tension value and the current roll diameter as a percentage of the maximum roll diameter. This ensures that the strip is always in contact with the roll at a tension that is appropriate for the current roll diameter during the winding process, avoiding misalignment and uneven stacking of the strip due to tension fluctuations. This effectively ensures that the final roll is neat, reduces the processing cost during subsequent unwinding and use, and improves the finished product qualification rate.

[0017] (4) This invention achieves rapid suppression of deviation and stable system operation through offset closed-loop detection and multi-threshold hierarchical correction strategy. It avoids strip deviation and scrapping caused by the failure of a single correction method, and effectively avoids over-adjustment and frequent start-stop. Attached Figure Description

[0018] The present invention will be further described with reference to the accompanying drawings, but the embodiments in the drawings do not constitute any limitation on the present invention. For those skilled in the art, other drawings can be obtained based on the following drawings without creative effort.

[0019] Figure 1 This is a schematic diagram of the module connection of the present invention.

[0020] Figure 2 This is a flowchart illustrating the implementation of the unwinding control module of the present invention.

[0021] Figure 3 This is a flowchart illustrating the implementation of the winding control module of the present invention. Detailed Implementation

[0022] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0023] Reference Figure 1 As shown, the present invention provides a digital control system for a strip winding equipment, including: an unwinding control module, a synchronization coordination module, a winding control module, and a deviation correction module.

[0024] The unwinding control module is connected to the synchronization coordination module, the synchronization coordination module is connected to the winding control module, and the winding control module is connected to the deviation correction module.

[0025] Unwinding control module: Configures the uncoiler frequency converter to output reverse torque, acquires tension data at each monitoring point through tension sensing components, synchronously collects the state characteristic information of the unwinding strip, and dynamically adjusts the braking torque based on the matching degree between tension data and state characteristic information to maintain stable unwinding tension.

[0026] Reference Figure 2 As shown, in a preferred embodiment of the present invention, the unwinding control module is implemented as follows: in the initial stage of unwinding, the unwinding machine frequency converter outputs a reverse torque according to the preset initial torque parameters to establish the initial braking torque.

[0027] During the unwinding process of the strip, tension data at each monitoring point is continuously collected through tension sensing components.

[0028] The state characteristics of the uncoiled strip are captured by an image acquisition device. The state characteristics include the strip's slack, wrinkle state, and edge flatness.

[0029] A preset matching standard is set for tension data and state feature information. When the tension data is within the preset range and the state feature information is normal, a match is determined.

[0030] If a match is determined, the current braking torque will be maintained.

[0031] If a mismatch is determined, the adjustment amount of the braking torque is calculated based on the deviation direction of the tension data and the abnormal type of the state characteristic information.

[0032] It should be noted that the abnormal types of the above-mentioned state feature information include abnormal relaxation type, abnormal wrinkle type and abnormal edge type. The method for judging each type of abnormality is as follows: the quantitative parameters of relaxation, wrinkle state and edge smoothness calculated in real time are compared with their preset qualified threshold ranges. If any quantitative parameter exceeds its corresponding qualified threshold range, the corresponding type of abnormality is judged to have occurred.

[0033] Adjust the output torque of the uncoiler frequency converter according to the adjustment amount until the tension data and status characteristic information are restored to a matching state.

[0034] In a preferred embodiment of the present invention, the capture of the state feature information of the uncoiled strip is implemented as follows: an image acquisition device is installed on the exit side of the uncoiler to continuously acquire images of the strip surface and edges, and generate an image sequence.

[0035] Real-time image processing and feature extraction of the image sequence includes: I. Calculating the displacement vector field of a specific texture on the surface of the strip between consecutive frames, quantifying the longitudinal and transverse strain distributions on the surface of the strip, and using the mean and fluctuation of the strain distribution as quantitative parameters characterizing the relaxation of the strip.

[0036] II. Identify wrinkled areas on the strip surface and generate pixel-level masks for the wrinkled areas, using the area ratio and number of the wrinkled areas as quantitative parameters characterizing the wrinkled state.

[0037] III. Extract the edge pixels of the strip and fit the extracted edge pixels to an ideal reference line using the least squares method. Calculate the average and maximum deviations between the edge pixels of the strip and the ideal reference line, and use these as quantitative parameters to characterize the edge flatness.

[0038] The extracted quantitative parameters are used as the basis for judging the operating status of the strip to capture the state characteristic information of the uncoiled strip.

[0039] In a preferred embodiment of the present invention, the calculation of the adjustment amount of braking torque is carried out as follows: by performing time-sequential incremental calculation on the deviation value between the tension data and its matching standard, the basic adjustment amount of braking torque is obtained, and the positive and negative directions of the basic adjustment amount of braking torque are determined according to the deviation direction of the tension data relative to its matching standard.

[0040] It should be added that the specific process for determining the positive and negative directions of the above-mentioned basic adjustment amount of braking torque is as follows: if the tension data is less than the lower limit of the preset range of its matching standard, the deviation direction is determined to be negative, and the basic adjustment amount of braking torque is determined to be negative. This is used to reduce the output torque of the uncoiler frequency converter, reduce the reverse resistance torque applied by the uncoiler, and make it easier for the traction roller and the coiler to pull the strip, thereby increasing the actual tension through the tightening of the strip.

[0041] If the tension data is greater than the upper limit of the preset range of its matching standard, the deviation direction is determined to be positive, and the basic adjustment amount of the braking torque is determined to be positive. This is used to increase the output torque of the uncoiler frequency converter, enhance the reverse resistance torque applied by the uncoiler, and increase the resistance of the traction roller and the coiler in pulling the strip, thereby reducing the actual tension.

[0042] It should be noted that the above-mentioned time-series incremental calculation process is as follows: real-time acquisition of tension deviation data at the current and historical moments, construction of a time-series deviation sequence, wherein the calculation method of tension deviation data is determined by the deviation direction: when the deviation direction is positive, the difference between the actual tension data and the upper limit of the preset range is taken as the tension deviation data; when the deviation direction is negative, the absolute value of the difference between the actual tension data and the lower limit of the preset range is taken as the tension deviation data.

[0043] Based on the time-series deviation sequence, the first-order and second-order difference components reflecting the deviation change trend are calculated.

[0044] The current deviation value, first-order difference component, and second-order difference component are weighted with predefined proportional coefficients, integral coefficients, and differential coefficients, respectively, and then summed to obtain the basic adjustment amount.

[0045] The mechanism of each predefined coefficient is as follows: the proportional coefficient is used to regulate the response strength to the current deviation.

[0046] The integral coefficient is used to adjust the response strength to the cumulative amount of historical deviations in order to eliminate steady-state errors.

[0047] The differential coefficient is used to adjust the strength of the suppression of the trend of deviation change, so as to predict the system state and suppress oscillations.

[0048] In addition, each predefined coefficient can be generated through a systematic parameter self-tuning mechanism, which includes two methods: a. Automatic tuning path: During the system debugging phase, the parameter self-tuning module is enabled. Characteristic disturbance signals such as step signals and specific frequency pulses are actively applied to the controlled object through a preset program. The dynamic response curve of the system is collected synchronously. Based on built-in algorithms such as step response identification method and relay feedback oscillation method, the characteristic parameters of the system are analyzed, and then an optimized coefficient set adapted to the current hardware configuration is automatically generated.

[0049] b. Working Condition Adaptation Path: Based on the working condition adaptability tests conducted during the system development phase on multiple sets of strips with different materials and thicknesses, the optimal coefficient combinations verified by actual measurements are categorized and stored according to strip characteristic parameters, constructing a strip-coefficient mapping database. During actual operation, the matching pre-stored coefficient sets can be automatically called according to the physical parameters of the currently processed strip.

[0050] Based on the anomaly type of the status feature information, the predefined compensation strategy table is queried to obtain the corresponding compensation adjustment amount.

[0051] It should be noted that the above compensation strategy table defines the compensation adjustment amount and direction corresponding to different anomaly types and their severity levels. The severity level is quantified by the deviation ratio of the quantitative parameter corresponding to the anomaly type relative to its qualified threshold. Taking the abnormal relaxation type as an example, the deviation ratios of the strain distribution mean and the degree of fluctuation relative to their respective qualified thresholds are calculated, and the maximum value is taken. The severity level is determined according to the predefined range in which the maximum value is located.

[0052] The specific values ​​and directions of the compensation adjustment amount stored in the compensation strategy table are calibrated based on experimental data of strips of different materials and specifications during the equipment commissioning phase. The core principle is that the compensation amount provided should be able to effectively suppress or eliminate the abnormal state of this category and level. The following is an example table of the compensation adjustment amount directions for three abnormal types.

[0053] Table 1. Examples of Compensation Adjustment Directions for Different Abnormal Types

[0054]

[0055] The visual confidence weight is calculated based on the significance of the anomalies in the state feature information. This weight is then used as the compensation adjustment and the basic adjustment for weight allocation. The final braking torque adjustment is obtained through linear weighted fusion calculation.

[0056] It should be noted that the calculation process for the aforementioned visual confidence weights is as follows: The maximum deviation ratio of the quantification parameter for each anomaly type relative to its acceptable threshold is extracted, and these ratios are accumulated to obtain the significance of the anomaly in the state feature information. This significance is then input into a preset monotonically increasing function, and its output value is normalized. Within the interval, visual confidence weights are obtained.

[0057] The preset monotonically increasing function can be exemplified as follows: , The degree of significance of anomalies in state feature information. It is a natural constant. This is the preset significance threshold corresponding to a visual confidence weight of 1. This is a preset control factor used to control the transition speed of the function. This function curve is smooth and operates within a certain threshold. The surrounding area exhibits sensitive nonlinear characteristics, making it ideal for converting anomaly levels into confidence levels.

[0058] It should be noted that the compensation adjustment amount used in the above linear weighted fusion calculation process is the algebraic sum of the compensation adjustment amounts corresponding to all triggered anomaly types in their corresponding directions. This value is a comprehensive compensation result, while the weight assigned to the basic adjustment amount is the difference between 1 and the visual confidence weight.

[0059] It should be added that the introduction of the visual confidence weight enables adaptive intelligent decision-making through multi-source information fusion in the control system. Its technical effects are as follows: Firstly, it achieves dynamic allocation of control authority. The system no longer mechanically executes fixed rules, but can intelligently and seamlessly transition between two strategies—feedback control based on the traditional PID model and feedforward compensation control based on machine vision rules—according to the severity of the abnormal state. When there are no abnormalities or the abnormalities are minor, PID control is the primary method to ensure response speed; when the abnormalities are severe, visual compensation is the primary method to resolve the core issues.

[0060] On the other hand, it enhances the system's robustness and fault tolerance: this mechanism gives the system the ability to diagnose and treat problems accordingly. Even if the tension sensor reading is normal, as long as a significant abnormality is detected visually, the system will still assign high weight to the visual information and perform corrective actions. This reduces the absolute dependence on a single sensor and enhances the ability to cope with complex operating conditions and potential sensor inaccuracies.

[0061] This invention breaks through the existing single control mode that relies on tension data. By integrating tension sensing and visual state recognition, and combining tension data with strip state characteristic information, it achieves dynamic adjustment of braking torque. Through multimodal sensing of the strip, it improves the accuracy and adaptability of tension control.

[0062] Synchronization and Coordination Module: The winding machine is set as the speed master device, and the unwinding machine and traction roller are controlled to track the winding line speed through a follow control strategy to achieve synchronous alignment of the operating speeds of multiple devices.

[0063] In a preferred embodiment of the present invention, the synchronization and coordination module is implemented as follows: the operating speed of the winding machine is set as the reference speed, and the linear speed parameters of the winding machine are collected in real time; the operating linear speed parameters of the uncoiler and traction roller are compared with the linear speed parameters of the winding machine, and the speed deviation value is calculated.

[0064] Based on the speed deviation value, a follow-up control strategy is adopted to adjust the drive parameters of the uncoiler and traction roller, so that their running speed converges to the coiler's linear speed.

[0065] Continuously monitor the speed deviation between multiple devices, and maintain the current control parameters when the speed deviation is within the preset allowable range.

[0066] When the speed deviation exceeds the preset allowable range, the speed adjustment process is restarted.

[0067] In a preferred embodiment of the present invention, the following control strategy is implemented as follows: the linear speed parameter of the winding machine is used as the target speed signal and sent to the control units of the uncoiler and the traction roller respectively.

[0068] The control unit of the uncoiler and traction roller generates an adjustment signal based on the difference between the target speed signal and its own actual speed parameters.

[0069] The driving parameters are corrected in real time based on the adjustment signal, so that the running speed of the uncoiler and traction roller gradually approaches the target speed signal.

[0070] It should be noted that the above drive parameters specifically refer to the speed setpoint or torque setpoint of the frequency converter.

[0071] During speed adjustment, the speed deviation value is continuously monitored. When the speed deviation value is less than the preset threshold, it is determined that synchronization is completed.

[0072] It should be noted that the preset allowable range and preset threshold for the speed deviation value mentioned above are determined comprehensively based on the transmission accuracy of the equipment, the process requirements of the strip material, and the system response characteristics, and are calibrated through on-site debugging experiments. The preset threshold is equal to the upper limit of the preset allowable range.

[0073] This invention clearly defines the winding machine as the speed-controlling device, using its linear speed as the sole reference for the unwinding machine and traction roller. This eliminates speed adaptation conflicts caused by multiple devices lacking a unified reference from the source. After synchronization is completed, the speed deviation is still monitored, and the machine automatically restarts and adjusts when it exceeds the allowable range. This allows the equipment to maintain long-term stable operation without manual intervention, reducing maintenance costs and failure risks.

[0074] The winding control module adopts a tapered tension control method to obtain the current winding diameter parameters in real time. It calculates the real-time tension value by combining the initial tension parameters and the preset maximum winding diameter parameters. The real-time tension value is determined based on the correlation between the initial tension value and the ratio of the current winding diameter to the maximum winding diameter.

[0075] Reference Figure 3 As shown, in a preferred embodiment of the present invention, the winding control module is implemented as follows: in the initial stage of winding, the initial tension parameter and the maximum winding diameter parameter are set, and the taper coefficient is configured.

[0076] The current roll diameter parameters are obtained in real time during the roll-up process through the roll diameter detection component.

[0077] The real-time tension value is calculated based on the initial tension parameter, the ratio between the current roll diameter parameter and the maximum roll diameter parameter, and the taper coefficient.

[0078] It should be noted that the above real-time tension values ​​can be exemplarily referred to the formula. Obtain, among which The effective taper coefficient is not a fixed value. Instead, it is obtained by consulting a preset process parameter table based on the strip's material code and thickness parameters. The smaller the value, the greater the tension attenuation as the roll diameter increases. The calculated real-time tension setpoint, These are the initial tension parameters and the maximum roll diameter parameters, respectively. The current volume diameter parameter is obtained in real time. This refers to the fixed empty roll diameter of the winding machine's winding shaft.

[0079] The real-time tension value is converted into a control signal for the winding machine, and the winding driving force is adjusted to ensure that the actual winding tension is consistent with the calculated real-time tension value.

[0080] It should be noted that the control signal of the above-mentioned winding machine is specifically the torque command value required by the winding motor. The conversion process is as follows: multiply the real-time tension value by the current winding diameter parameter, further perform a ratio calculation with the preset total speed ratio of the mechanical transmission system, and take half of the ratio calculation result as the torque command value.

[0081] The adjustment of the winding drive force specifically involves: sending the torque command value to the winding machine frequency converter as a given value in its torque mode, controlling the winding motor to output the corresponding electromagnetic torque, thereby generating the required winding tension.

[0082] The winding operation stops when the roll diameter parameter reaches the maximum roll diameter parameter.

[0083] In a preferred embodiment of the present invention, the roll diameter detection component is implemented as follows: a displacement detection device is installed next to the winding machine to monitor the distance parameter between the winding roll and the detection point in real time.

[0084] The current roll diameter parameter is calculated based on the distance parameters and the structural dimensions of the winding machine.

[0085] It should be noted that the above-mentioned current roll diameter parameter conversion process is as follows: a fixed distance is preset from the installation position of the displacement detection device to the center of the winding machine roll shaft, the difference between the fixed distance and the distance to the roll surface measured by the displacement detection device in real time is taken as the current roll diameter parameter.

[0086] The current roll diameter parameter is compared with the preset maximum roll diameter parameter. When the current roll diameter parameter reaches the preset ratio of the maximum roll diameter parameter, a roll diameter warning signal is issued.

[0087] It should be noted that the above preset ratio is used to reserve time for deceleration or preparation for roll changing, and can be exemplarily 0.9.

[0088] The embodiments of the present invention use a conical control method to determine the winding tension in real time based on the correlation between the initial tension value and the current roll diameter as a percentage of the maximum roll diameter. This ensures that the strip is always in contact with the roll at a tension that is appropriate for the current roll diameter during the winding process, avoiding misalignment and uneven stacking of the strip layers due to tension fluctuations. This effectively ensures that the final roll shape is neat, reduces the processing cost during subsequent unwinding and use, and improves the finished product qualification rate.

[0089] Deviation correction module: detects the deviation parameter of the strip, starts the closed-loop deviation correction control mechanism, and performs corresponding deviation correction operations based on the comparison result of the deviation parameter and the preset warning threshold.

[0090] In a preferred embodiment of the present invention, the deviation correction module is implemented as follows: the deviation parameters of the strip are collected in real time through the offset detection component.

[0091] It should be noted that the above-mentioned offset detection component includes a photoelectric sensor or CCD vision sensor, a signal conditioning circuit and a microprocessor unit. Its real-time acquisition of the offset parameters of the strip is implemented as follows: the photoelectric sensor or CCD vision sensor is aimed at the feature points on the edge of the strip and emits a detection beam or acquires an image, which is then converted into a corresponding electrical signal.

[0092] The electrical signal is filtered and amplified using a signal conditioning circuit to suppress on-site interference.

[0093] The microprocessor unit calculates the actual position coordinates of the strip edge based on the processed signal.

[0094] The actual position coordinates are compared with the preset reference position coordinates, and the difference is the real-time offset parameter.

[0095] The offset parameter is compared with the preset first warning threshold and second warning threshold.

[0096] If the offset parameter is less than the first warning threshold, the current operating state will be maintained.

[0097] If the offset parameter is greater than the first warning threshold but less than the second warning threshold, the hydraulic cylinder is activated to perform a rapid correction operation.

[0098] It should be noted that the above-mentioned starting hydraulic cylinder performs a rapid correction operation by inputting the offset parameter into a proportional-integral controller to generate a control signal.

[0099] The control signal is sent to the electro-hydraulic servo threshold or proportional threshold to drive the hydraulic cylinder piston rod to extend and retract, thereby causing the correction roller to move horizontally to reduce the offset.

[0100] If the offset parameter is greater than the second warning threshold, a deceleration command and an alarm signal will be activated simultaneously until the offset parameter returns to below the first warning threshold.

[0101] It should be noted that the first and second warning thresholds are preset based on the width and material characteristics of the strip. Typically, the first warning threshold can be 1%-3% of the strip width, and the second warning threshold can be 3%-5% of the strip width. The first warning threshold is strictly less than the second warning threshold. The specific values ​​are determined during the system debugging phase by observing the operational stability of the strip and the response status of the correction system under different thresholds, and are finally determined after experimental calibration and stored in the system cloud database for direct retrieval.

[0102] In a preferred embodiment of the present invention, the closed-loop correction control mechanism is implemented as follows: during the rapid correction operation performed by the hydraulic cylinder, the offset parameter of the strip is fed back in real time through the offset detection component.

[0103] The feedback offset parameter is compared with the target offset to calculate the correction deviation value.

[0104] Adjust the extension and retraction of the hydraulic cylinder according to the deviation value until the offset parameter is less than the first warning threshold.

[0105] If the offset parameter does not return to below the first warning threshold within the preset time, secondary correction measures will be initiated, including increasing the driving force of the hydraulic cylinder or adjusting the speed difference of the traction roller.

[0106] The embodiments of the present invention achieve rapid suppression of deviation and stable system operation through offset closed-loop detection and multi-threshold hierarchical correction strategy. This avoids strip deviation and scrapping caused by the failure of a single correction method, and effectively avoids over-adjustment and frequent start-stop.

[0107] The above formulas are all dimensionless calculations. The formulas are derived from software simulations based on a large amount of collected data to obtain the most recent real-world results. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.

[0108] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, in the form of a computer program product.

[0109] Those skilled in the art will recognize that the modules and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0110] In addition, the functional modules in the various embodiments of this application can be integrated into one processing module, or each module can exist physically separately, or two or more modules can be integrated into one module.

[0111] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0112] Finally, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A digital control system for a strip coiling apparatus, characterized by, The application relates to a strip unwinding control system, which comprises the following modules: An unwinding control module: configuring the output reverse torque of the unwinder frequency converter, acquiring the tension data of each monitoring point through the tension sensor assembly, synchronously collecting the state characteristic information of the unwinding strip, dynamically adjusting the braking torque based on the matching degree of the tension data and the state characteristic information, and maintaining the unwinding tension stable; A synchronous coordination module: setting the coiler as the speed master device, controlling the unwinder and the traction roller to track the coiling line speed through the following control strategy, and realizing the synchronous alignment of the running speeds of multiple devices; A coiling control module: adopting a taper tension control mode, acquiring the current roll diameter parameter in real time, calculating the real-time tension value in combination with the initial tension parameter and the preset maximum roll diameter parameter, and determining the real-time tension value based on the correlation between the initial tension value and the proportion of the current roll diameter in the maximum roll diameter; A deviation correction module: detecting the deviation parameter of the strip, starting the closed-loop deviation correction control mechanism, and executing corresponding deviation correction operations according to the comparison result of the deviation parameter and the preset early warning threshold.

2. A digital control system for a strip coiling apparatus as claimed in claim 1, wherein, The unwinding control module is implemented as follows: In the initial unwinding stage, the unwinder frequency converter outputs the reverse torque according to the preset initial torque parameter, and the initial braking torque is established; In the unwinding process of the strip, the tension data of each monitoring point is continuously collected through the tension sensor assembly; The state characteristic information of the unwinding strip is captured through the image acquisition device, and the state characteristic information includes the slackness, wrinkle state and edge flatness of the strip; The matching standard of the preset tension data and the state characteristic information is that when the tension data is within the preset range and the state characteristic information is normal, the matching is determined; If the matching is determined, the current braking torque is maintained; If the matching is not determined, the adjustment amount of the braking torque is calculated according to the deviation direction of the tension data and the abnormal type of the state characteristic information; The output torque of the unwinder frequency converter is adjusted according to the adjustment amount until the tension data and the state characteristic information return to the matching state.

3. A digital control system for a strip coiling apparatus as defined in claim 2, wherein The state characteristic information of the unwinding strip is captured as follows: The image acquisition device is arranged at the outlet side of the unwinder, continuous image acquisition of the surface and edge of the strip is carried out, and an image sequence is generated; Real-time image processing and feature extraction are carried out on the image sequence, including: I. Calculating the displacement vector field of the specific texture on the surface of the strip between continuous frames, quantifying the strain distribution of the longitudinal and transverse directions of the strip surface, and taking the mean value and fluctuation degree of the strain distribution as the quantization parameters representing the slackness of the strip; II. Identifying the wrinkle area on the surface of the strip and generating a pixel-level mask of the wrinkle area, and taking the area proportion and number of the wrinkle area as the quantization parameters representing the wrinkle state; III. Extracting the edge pixel points of the strip, fitting the extracted edge pixel points into an ideal reference straight line by using the least square method, and calculating the average deviation and maximum deviation value of the edge pixel points of the strip and the ideal reference straight line as the quantization parameters representing the edge flatness; The extracted quantization parameters are used as the basis for judging the running state of the strip, and the state characteristic information of the unwinding strip is captured.

4. A digital control system for a strip coiling apparatus as defined in claim 2, wherein The adjustment amount of the braking torque is calculated as follows: The basic adjustment amount of the braking torque is obtained by time-series incremental operation of the deviation value of the tension data from the matching standard, and the positive or negative direction of the basic adjustment amount of the braking torque is determined according to the deviation direction of the tension data from the matching standard; According to the abnormal type of the state feature information, a pre-defined compensation strategy table is queried to obtain a corresponding compensation adjustment amount; The visual confidence weight is calculated based on the significant degree of the state feature information abnormality, and the compensation adjustment amount and the basic adjustment amount are weighted and distributed, and the final braking torque adjustment amount is calculated through linear weighted fusion.

5. The digital control system for a strip coiling apparatus of claim 1 wherein, The synchronous coordination module implements the following: The running speed of the coiler is set as a reference speed, and the linear speed parameter of the coiler is collected in real time: The running linear speed parameters of the uncoiler and the traction roller are compared with the linear speed parameter of the coiler, and the speed deviation value is calculated; Based on the speed deviation value, the driving parameters of the uncoiler and the traction roller are adjusted using a following control strategy, so that the running speeds of the two converge to the linear speed of the coiler; The speed deviation value between multiple devices is continuously monitored, and when the speed deviation value is within the pre-set allowable range, the current control parameters are maintained; When the speed deviation value exceeds the pre-set allowable range, the speed adjustment process is restarted.

6. A digital control system for a strip coiling apparatus as defined in claim 5, wherein The following control strategy implements the following: The linear speed parameter of the coiler is taken as a target speed signal and sent to the control units of the uncoiler and the traction roller; The control units of the uncoiler and the traction roller generate adjustment signals according to the difference between the target speed signal and the actual speed parameter; Based on the adjustment signal, the driving parameters are corrected in real time, so that the running speeds of the uncoiler and the traction roller gradually approach the target speed signal; During the speed adjustment process, the speed deviation value is continuously monitored, and when the speed deviation value is less than a pre-set threshold, it is determined that the synchronization is completed.

7. The digital control system for a strip coiling apparatus of claim 1 wherein, The coiling control module implements the following: In the initial stage of coiling, the initial tension parameter and the maximum coil diameter parameter are set, and the taper coefficient is configured; The current coil diameter parameter in the coiling process is obtained in real time by the coil diameter detection component; Based on the proportional relationship of the initial tension parameter, the current coil diameter parameter and the maximum coil diameter parameter, and the taper coefficient, the real-time tension value is calculated; The real-time tension value is converted into a control signal of the coiler to adjust the coiling driving force, so that the actual coiling tension remains consistent with the calculated real-time tension value; When the coil diameter parameter reaches the maximum coil diameter parameter, the coiling operation is stopped.

8. A digital control system for a strip coiling apparatus as defined in claim 7, wherein The coil diameter detection component implements the following: A displacement detection device is arranged beside the coiler to monitor the distance parameter between the coiling shaft and the detection point in real time; According to the distance parameter and the structural size of the coiler, the current coil diameter parameter is calculated; The current coil diameter parameter is compared with the pre-set maximum coil diameter parameter, and when the current coil diameter parameter reaches the pre-set proportion of the maximum coil diameter parameter, a coil diameter warning signal is sent.

9. The digital control system for a strip coiling apparatus of claim 1 wherein, The deviation correction module implements the following: The offset amount parameter of the strip is collected in real time by the offset detection component; The offset amount parameter is compared with the pre-set first warning threshold and the second warning threshold; If the offset amount parameter is less than the first warning threshold, the current running state is maintained; If the offset amount parameter is greater than the first warning threshold and less than the second warning threshold, a hydraulic cylinder is started to perform a rapid deviation correction operation; If the offset parameter is greater than the second early warning threshold, a deceleration instruction and an alarm signal are simultaneously started until the offset parameter returns to below the first early warning threshold.

10. A digital control system for a strip coiling apparatus as claimed in claim 9, wherein, The closed-loop deviation correction control mechanism is implemented as follows: During the execution of the fast deviation correction operation of the hydraulic cylinder, the offset detection assembly feeds back the offset parameter of the strip in real time; The feedback offset parameter is compared with the target offset to calculate a deviation correction value; The extension and retraction amount of the hydraulic cylinder is adjusted according to the deviation correction value until the offset parameter is less than the first early warning threshold; If the offset parameter does not return to below the first early warning threshold within a preset time, secondary deviation correction measures are started, including enhancing the driving force of the hydraulic cylinder or adjusting the speed difference of the traction rollers.

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