Automatic tension control system and method for rolling tension pressing plate in plate and strip splitting line

Abstract

The invention relates to the technical field of metal processing equipment control, discloses an automatic tension control system and method for a winding tension pressing plate in a plate and strip splitting line, and aims to solve the problems of coil collapse, deviation, irregularity and the like caused by manual experience operation in the prior art. The system comprises a rolling diameter real-time detection module, a tension calculation and control module, a pressing plate pressure execution mechanism, a data storage and process management module and a system bus and communication interface. The method comprises the steps that a standard process data block is called according to the specification of coil steel to be split, real-time outer diameter data are obtained through a non-contact measuring device, a target tension value is dynamically calculated based on the coil diameter-tension reference mapping relation, and a pressing plate pressure executing mechanism is driven to conduct accurate adjustment. By the adoption of the technical scheme, automatic closed-loop control over tension in the whole winding process can be achieved.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of metal processing equipment control, and particularly relates to a tension automatic control system and control method for a winding tension pressure plate in a strip dividing line. BACKGROUND

[0002] In the field of metal processing and manufacturing, the strip dividing line is a key equipment for finishing steel strips, and the winding quality directly affects the subsequent processing efficiency and product appearance quality. Tension control during winding is an important factor in determining the neatness, tightness and stability of the wound material, especially in high-speed dividing operations, tension fluctuations can easily cause defects such as collapsed winding, interlayer misplacement and uneven edges, which severely restrict the production line speed and product qualification rate. At present, most domestic strip dividing lines still use manual experience to adjust the winding tension, which relies on the skill level of workers and lacks uniform standards, resulting in varying winding effects depending on the person, making it difficult to ensure dynamic matching of tension during winding diameter growth, and frequently causing material waste, repeated winding and energy loss, significantly increasing production costs and weakening the market competitiveness of enterprises.

[0003] Among them, the winding tension pressure plate is a key executive component that directly acts on the wound material, and its pressure application method and tension feedback mechanism have a decisive influence on winding control. The traditional system usually links the pressure plate with the belt transmission mechanism, but does not establish a closed-loop mapping relationship between the winding diameter change and the required tension, which cannot dynamically adjust the pressure of the pressure plate according to the real-time winding diameter, resulting in excessive tension leading to crushing deformation at the small winding stage, and insufficient tension causing loose winding collapse at the large winding stage, making it difficult to achieve precise adaptation of tension throughout the winding process.

[0004] The existing technology generally has problems such as extensive tension control strategy, lack of adaptive adjustment capability based on winding diameter parameters, excessive dependence on manual intervention, and inability to integrate standardized process data, resulting in limited running speed of the dividing line, poor product consistency, high labor and material costs. Especially in the production scene of frequent switching of multiple specifications of steel strips, the above defects are further magnified, which seriously hinders the upgrading of the strip dividing production line towards high efficiency, intelligence and standardization, therefore an automatic system capable of automatically matching tension parameters according to the size of the wound steel and achieving precise closed-loop control of tension throughout the winding process is urgently needed to solve the long-standing technical problems of collapsed winding, deviation, unevenness and low efficiency. SUMMARY

[0005] The purpose of the present application is to overcome the shortcomings of the prior art and provide a tension automatic control system and control method for a winding tension pressure plate in a strip dividing line, which can effectively solve the problems in the background art.

[0006] To achieve the above objectives, the present invention provides the following technical solution: On one hand, an automatic tension control system for a winding tension pressure plate in a strip slitting line, the system comprising the following components: a real-time coil diameter detection module for continuously collecting real-time outer diameter data of the coil during winding; a tension calculation and control module for receiving the real-time outer diameter data output by the real-time coil diameter detection module and calculating the corresponding target tension value based on a preset coil diameter-tension mapping relationship model; a pressure plate actuator for dynamically adjusting the pressure plate acting on the surface of the coil according to the target tension command issued by the tension calculation and control module; a data storage and process management module for storing standard process parameter data blocks for various specifications of coiled steel and providing reference data for the coil diameter-tension mapping relationship to the tension calculation and control module; and a system bus and communication interface for realizing data interaction and command transmission between modules. On the other hand, an automatic tension control method for a winding tension pressure plate in a strip slitting line, the specific steps of which are as follows: Step S110: Based on the specifications of the steel coil to be slit, retrieve the corresponding standard process data block from the standard process database. The standard process data block contains the coil diameter-tension baseline mapping relationship. S120 continuously acquires real-time outer diameter data of the roll material during the winding process through a non-contact measuring device; Step S130: Based on the acquired real-time outer diameter data and the roll diameter-tension reference mapping relationship, the target tension setting value corresponding to the current roll diameter is dynamically calculated using an interpolation algorithm; Step S140: The calculated target tension set value is converted into a pressure plate pressure control command to drive the pressure plate pressure actuator to perform precise pressure adjustment. Step S150: Steps S120 to S140 are continuously executed throughout the entire winding process to form a closed-loop tension control based on the real-time roll diameter.

[0007] Preferably, the real-time roll diameter detection module uses a laser rangefinder sensor array. The array has three measurement points arranged at equal intervals along the roll axis. Each measurement point independently collects the distance data of the roll surface. The local radius value is calculated by the triangulation principle. The system performs weighted averaging of the local radius values ​​of the three measurement points to eliminate the measurement error caused by the roll end face runout, and finally outputs high-precision real-time outer diameter data.

[0008] Furthermore, the tension calculation and control module has a built-in roll diameter-tension mapping relationship model constructed using a piecewise linear interpolation algorithm. This model divides the entire winding process into 128 equal roll diameter increment intervals. Within each interval, linear interpolation is performed based on the tension values ​​of adjacent standard data points to ensure the continuity and smoothness of tension changes throughout the entire process from the initial roll diameter to the maximum roll diameter.

[0009] In addition, the pressure plate actuator adopts a linear motion mechanism that drives a ball screw with a servo motor. This mechanism converts the rotational motion of the servo motor into the linear forward and backward movement of the pressure plate. The position of the pressure plate is fed back in real time through a high-resolution encoder. Combined with the actual pressure value detected by the pressure sensor, a position-pressure dual closed-loop control system is formed to achieve millinewton-level precision adjustment of the pressure plate.

[0010] For soft materials with a yield strength of less than 200 MPa, the acceleration limit of the servo motor is set to 500 rad / s² to prevent the pressure plate from causing instantaneous impact damage to the surface of the roll material.

[0011] Preferably, the data storage and process management module stores standard process data blocks, each corresponding to a specific specification of coiled steel. Each data block contains the material code, width range, thickness tolerance, initial coil diameter, target coil diameter, and standard tension values ​​corresponding to 32 key coil diameter points for that specification of coiled steel. These standard tension values ​​are determined based on a large amount of process test data and optimized using a material mechanics model that considers the coil's yield strength, elastic modulus, and Poisson's ratio. The material mechanics model is used to calculate the critical tension range required to prevent inner coil crushing and outer coil loosening under a given coil diameter and target tightness. The median of this range is determined as the standard tension value for the corresponding coil diameter. The material mechanics model is constructed based on the following formula: Inner ring crush critical tension: ; Critical tension for outer ring collapse: ; in E is the yield strength of the roll material, and E is the modulus of elasticity. Let t be the Poisson's ratio and t be the thickness of the roll material. The current volume diameter, and The standard tension value is determined as an empirical coefficient calibrated through process testing. .

[0012] Furthermore, the system bus and communication interface adopt the industrial Ethernet protocol and support the Modbus TCP / IP communication standard to achieve data integration with the upper-level production execution system. It can upload real-time data on the winding tension control process, including real-time roll diameter, set tension, actual pressure, and equipment operating status, providing data support for production management and quality traceability.

[0013] Furthermore, the interpolation algorithm in step S130 specifically employs the Lagrange quadratic interpolation method. This method selects three standard data points adjacent to the current real-time roll diameter as interpolation nodes, and accurately calculates the target tension value by constructing a quadratic interpolation polynomial. Its mathematical expression is: .

[0014] Where D is the real-time volume diameter. For adjacent standard roll diameter points, The corresponding standard tension value, The target tension value is calculated.

[0015] Preferably, in the pressure control command generation process of step S140, the target tension value is first converted into a theoretical pressure value based on the material width and the effective working area of ​​the pressure plate. Then, considering the surface friction coefficient of the roll material and the pressure plate tilt angle correction factor, the final pressure setting value is calculated through the pressure compensation model to ensure that the tension actually acting on the surface of the roll material is consistent with the target tension.

[0016] Compared with the prior art, the present invention has the following beneficial effects: 1. It realizes automatic closed-loop control of tension based on real-time roll diameter throughout the entire winding process, completely eliminating inconsistencies caused by manual experience-based adjustments, and increasing the winding neatness qualification rate to 99%; 2. By combining standard process data blocks with intelligent interpolation algorithms, the precise matching of tension is ensured throughout the entire process from the initial roll diameter to the maximum roll diameter, effectively solving the technical problems of small roll crushing and large roll loosening. 3. Systematic automated control significantly reduces the need for manual intervention, lowers the cost of inspection personnel, material loss, and rewinding energy, while increasing the production line operating speed by more than 25%; 4. The modular system architecture and standardized communication interfaces facilitate integration with existing production lines, support rapid switching between multiple product specifications, and improve the flexibility and intelligence of the production system. Attached Figure Description

[0017] Figure 1 This is a schematic diagram of the overall technical solution architecture of the automatic tension control system for the winding tension pressure plate in the strip slitting line proposed in this invention; Figure 2 This is the overall logical flow diagram of the automatic tension control method for the winding tension pressure plate in the strip slitting line proposed in this invention; Figure 3 This is a schematic diagram of the core principle and multi-measurement point data fusion framework of the real-time roll diameter detection module in this invention; Figure 4 This is a schematic diagram of the roll diameter-tension mapping relationship model and interpolation algorithm principle framework of the tension calculation and control module in this invention; Figure 5 This is a schematic diagram of the position-pressure dual closed-loop control principle framework of the pressure plate pressure actuator in this invention; Figure 6This is a schematic diagram of the standard process data block organization structure and data retrieval relationship in the data storage and process management module of this invention; Figure 7 This is a schematic diagram of the multi-level data interaction and integration framework of the system bus and communication interface in this invention; Figure 8 This is a schematic diagram illustrating the dynamic adjustment and effect comparison principle of the closed-loop tension control system based on real-time roll diameter in this invention. Detailed Implementation

[0018] To further illustrate the technical means and effects adopted by the present invention to achieve the intended purpose, the specific embodiments according to the present invention will be described in detail below with reference to the accompanying drawings and preferred embodiments. Example 1

[0019] In large steel enterprises' strip slitting production lines, coiled steel material enters the winding process after uncoiling, straightening, and slitting. During winding, the outer diameter of the coil gradually increases from the initial diameter to the target diameter. Traditional methods of manually adjusting the pressure plate are insufficient to maintain constant tension, resulting in material crushing when the coil is small and loosening when the coil is large. This invention achieves precise tension control throughout the entire winding process by constructing a closed-loop control system based on real-time coil diameter detection.

[0020] See Figure 1 This system includes a real-time roll diameter detection module, a tension calculation and control module, a pressure plate actuator, a data storage and process management module, and a system bus and communication interface. Each module interacts with the other and transmits commands through the system bus and communication interface, forming a complete automatic control loop.

[0021] The real-time roll diameter detection module is responsible for continuously collecting real-time outer diameter data of the roll material during the winding process. (See also...) Figure 3 This module employs a laser rangefinder sensor array with three measurement points evenly spaced along the axial direction of the roll material. Each measurement point independently collects distance data from the roll surface, and the local radius value is calculated using triangulation principles. The system performs a weighted average of the local radius values ​​from the three measurement points to eliminate measurement errors caused by roll end face runout. The specific weighting coefficients are determined based on the measurement point locations, with the middle measurement point having a weight of 0.5 and the two end measurement points each having a weight of 0.25. After data fusion processing, the system outputs real-time outer diameter data with an accuracy of 0.1 mm and a sampling frequency of 100 Hz.

[0022] The tension calculation and control module receives real-time outer diameter data output from the roll diameter real-time detection module and calculates the corresponding target tension value based on a preset roll diameter-tension mapping model. (See also...) Figure 4The module's built-in roll diameter-tension mapping model is constructed using a piecewise linear interpolation algorithm. This model divides the entire winding process into 128 equal-diameter increment intervals, performing linear interpolation calculations within each interval based on the tension values ​​of adjacent standard data points. The model ensures that tension changes remain continuous and smooth throughout the entire process, from an initial roll diameter of 500mm to a maximum roll diameter of 1500mm. During the interpolation calculation, the system monitors the roll diameter change rate in real time, automatically activating a data filtering algorithm when abnormal abrupt changes are detected to prevent control command fluctuations caused by measurement interference.

[0023] The data storage and process management module stores standard process parameter data blocks for various specifications of coiled steel. See also... Figure 6 Each standard process data block corresponds to a specific specification of coiled steel. The data block contains the material code, width range, thickness tolerance, initial coil diameter, target coil diameter, and standard tension values ​​corresponding to 32 key coil diameter points for that specification. These standard tension values ​​are determined based on extensive process test data and material mechanics model optimization, and are stored in a structured database format, supporting rapid querying and updating. The system supports storing process parameters for up to 200 different specifications of coiled steel, meeting the needs of multi-variety, small-batch production.

[0024] In this embodiment, the calibration method for empirical coefficients k1 and k2 is as follows: select N (e.g., N=10) groups with different yield strengths. Representative coil steel samples with elastic modulus (E) and thickness (t) were used. For each sample group, M (e.g., M=5) winding tests were conducted with fixed initial and target coil diameters, gradually adjusting the tension value until inner coil crushing or outer coil loosening was observed. The tension value at the critical state was recorded. and Substituting the experimental data into the theoretical formula above, and using the least squares method for fitting, the optimal values ​​of the empirical coefficients k1 and k2 applicable to this production line are finally determined.

[0025] The pressure plate actuator dynamically adjusts the pressure applied to the surface of the roll material based on the target tension command issued by the tension calculation and control module. (See also...) Figure 5 This mechanism employs a linear motion system where a servo motor drives a ball screw. After receiving control commands, the servo motor transmits the rotational motion to the ball screw via a precision reducer, which then converts it into the linear forward and backward motion of the pressure plate. The system provides real-time feedback on the pressure plate position via a high-resolution encoder with a resolution of 0.001 mm. Simultaneously, a pressure sensor installed on the pressure plate contact surface detects the actual pressure value in real time with a detection accuracy of 0.1 N. Position detection and pressure detection form a dual closed-loop control system, ensuring millinewton-level precision adjustment of the pressure plate.

[0026] The system bus and communication interface adopt the industrial Ethernet protocol and support the Modbus TCP / IP communication standard. See also... Figure 7 This interface enables data interaction and command transmission between modules, and also supports data integration with the upper-level production execution system. The communication cycle is set to 10 milliseconds to ensure the real-time performance of control commands. The system can upload real-time data on the winding tension control process, including real-time roll diameter, set tension, actual pressure, and equipment operating status, providing comprehensive data support for production management and quality traceability.

[0027] See Figure 2 The specific implementation process of the control method of the present invention is as follows: Step S110: Based on the specifications of the steel coil to be slit, the system retrieves the corresponding standard process data block from the standard process database. The operator inputs the steel coil material code, width specification, and thickness parameters through the human-machine interface, and the system automatically matches the closest standard process data block. During the matching process, the system verifies whether the input parameters are within the tolerance range specified by the standard process data block. If they exceed the tolerance, the system prompts the operator to confirm or select an adjacent specification.

[0028] Step S120: Real-time outer diameter data of the roll material is continuously acquired during the winding process using a non-contact measuring device. A laser rangefinder array collects distance data at a frequency of 100 Hz. After triangulation calculation and weighted averaging, the real-time outer diameter value is output. The system simultaneously monitors the data consistency of three measuring points. When the data at any measuring point deviates from the other two points by more than 2 mm, the point is automatically marked as abnormal, and the arithmetic mean of the remaining two points is used as the output.

[0029] Step S130: Based on the acquired real-time outer diameter data and the roll diameter-tension reference mapping relationship, an interpolation algorithm is used to dynamically calculate the target tension setpoint corresponding to the current roll diameter. Specifically, the interpolation algorithm employs the Lagrange quadratic interpolation method. This method selects three adjacent standard data points of the current real-time roll diameter as interpolation nodes, and accurately calculates the target tension value by constructing a quadratic interpolation polynomial. Its mathematical expression is: .

[0030] Where D is the real-time volume diameter. For adjacent standard roll diameter points, For the corresponding standard tension value, The calculated target tension value is used. During the interpolation calculation process, the system verifies in real time whether the calculation results are within a reasonable range to prevent control command errors caused by data anomalies.

[0031] Step S140 converts the calculated target tension setpoint into a pressure control command for the pressure plate, driving the pressure plate actuator to perform precise pressure adjustment. The conversion process first converts the target tension value into a theoretical pressure value based on the material width and the effective working area of ​​the pressure plate. Then, considering the surface friction coefficient of the coil and the pressure plate tilt angle correction factor, the final pressure setpoint is calculated using a pressure compensation model. The pressure compensation model is based on Coulomb's law of friction and comprehensively considers the influence of coil surface roughness, coating characteristics, and ambient temperature and humidity on the friction coefficient.

[0032] Step S150: Steps S120 to S140 are continuously executed throughout the entire winding process to form a closed-loop tension control based on the real-time roll diameter. The system continuously monitors changes in roll diameter and adjusts the pressure plate accordingly, with a control cycle of 10 milliseconds. See also... Figure 8 During closed-loop control, the system compares the deviation between the set tension and the actual tension in real time. When the deviation exceeds the set threshold for 5 seconds, an alarm is automatically triggered and abnormal data is recorded. Simultaneously, the system predicts the tension demand for the next 10 control cycles based on the roll diameter change rate, adjusting control parameters in advance to improve system response speed. Example 2

[0033] In precision slitting production lines for aluminum sheets and strips, the surface of aluminum is soft and easily scratched, placing higher demands on tension control precision. This embodiment is specifically optimized for the characteristics of aluminum, based on Embodiment 1.

[0034] The real-time roll diameter detection module uses a higher-precision laser rangefinder sensor, improving measurement accuracy to 0.05mm. The sensor array has been increased to 5 measurement points, providing more comprehensive coverage of the roll end face and eliminating measurement errors caused by unevenness of the aluminum roll end face. The weighted average algorithm has been adjusted accordingly, with the three middle measurement points each having a weight of 0.2 and the two end measurement points each having a weight of 0.1, further smoothing the measurement data.

[0035] The roll diameter-tension mapping model in the tension calculation and control module is subdivided into 256 equal roll diameter increment intervals, providing a more refined tension control curve. Considering the low yield strength of aluminum, a lower reference tension is set in the initial roll diameter stage to prevent surface indentation. The interpolation algorithm incorporates boundary condition processing; when the real-time roll diameter approaches the maximum or minimum standard roll diameter point, it automatically switches to a linear extrapolation algorithm to ensure control continuity.

[0036] The data storage and process management module now includes a new aluminum-specific process parameter library, containing roll diameter-tension mapping relationships for different alloy grades and heat treatment states. Each process data block now includes process parameters such as material hardness, surface roughness, and coating thickness, providing more comprehensive data support for tension calculations. The system supports a self-learning function for process parameters, automatically optimizing standard tension values ​​based on actual production results.

[0037] The pressure plate actuator uses an air-floating linear guide to eliminate the influence of mechanical friction on micro-force control. The pressure sensor has been upgraded to a thin-film micro-pressure sensor, improving the detection accuracy to 0.01N. The control system incorporates a vibration compensation algorithm to detect and compensate for the interference of equipment operating vibration on pressure measurement in real time.

[0038] The system bus and communication interface incorporate a real-time Ethernet protocol, reducing the communication cycle to 1ms to meet the high-speed response requirements of precision aluminum slitting. Deep integration with the upper-level quality management system enables real-time transmission of tension control data to the quality traceability system, achieving full lifecycle quality monitoring for each roll of product.

[0039] In step S140, the control method enhances the pressure compensation model by adding a material surface characteristic compensation factor. Multiple friction coefficient databases are established for different states of the aluminum surface, such as oxide layers and oil coatings, and the most suitable compensation parameters are automatically selected based on actual production conditions. Simultaneously, in step S150, a tension fluctuation suppression algorithm is added. This algorithm predicts tension disturbances caused by sudden changes in coil diameter through feedforward control, adjusting the pressure plate pressure in advance to ensure the flatness of the aluminum coil during winding.

[0040] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any simple modifications, equivalent changes and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. An automatic tension control system for a winding tension pressure plate in a strip slitting line, characterized in that, The system includes the following components: a real-time roll diameter detection module, used to continuously collect real-time outer diameter data of the roll material during the winding process; and a tension calculation and control module, which receives the real-time outer diameter data output by the real-time roll diameter detection module and calculates the corresponding target tension value based on a preset roll diameter-tension mapping relationship model. The pressure plate actuator dynamically adjusts the pressure plate applied to the surface of the coil material according to the target tension command issued by the tension calculation and control module; the data storage and process management module stores standard process parameter data blocks for various specifications of coil steel and provides the tension calculation and control module with reference data of the coil diameter-tension mapping relationship; the system bus and communication interface realize data interaction and command transmission between various modules; The real-time roll diameter detection module uses a laser rangefinder array. The laser rangefinder array calculates the local radius value through the triangulation principle. The system performs weighted averaging on the local radius value to eliminate the measurement error caused by the roll end face runout, and finally outputs high-precision real-time outer diameter data. The tension calculation and control module has a built-in roll diameter-tension mapping model constructed using a piecewise linear interpolation algorithm to ensure the continuity and smoothness of tension changes throughout the entire process from the initial roll diameter to the maximum roll diameter. The pressure plate actuator adopts a linear motion mechanism that drives a ball screw with a servo motor. This mechanism converts the rotational motion of the servo motor into the linear forward and backward movement of the pressure plate. The position of the pressure plate is fed back in real time through a high-resolution encoder. Combined with the actual pressure value detected by the pressure sensor, a position-pressure dual closed-loop control system is formed to achieve millinewton-level precision adjustment of the pressure plate. After receiving instructions from the tension calculation and control module, the servo motor of the pressure plate actuator dynamically adjusts its control parameters according to the current roll material code.

2. The automatic tension control system for the winding tension pressure plate in a strip slitting line according to claim 1, characterized in that, The data storage and process management module stores standard process data blocks. Each data block corresponds to a specific specification of coiled steel. The data block contains the material code, width range, thickness tolerance, initial coil diameter, target coil diameter, and standard tension values ​​corresponding to 32 key coil diameter points of that specification of coiled steel. These standard tension values ​​are determined based on a large amount of process test data and material mechanics model optimization.

3. The automatic tension control system for the winding tension pressure plate in a strip slitting line according to claim 1, characterized in that, The system bus and communication interface adopt the industrial Ethernet protocol and support the Modbus TCP / IP communication standard to achieve data integration with the upper-level production execution system. It can upload real-time data on the winding tension control process, including real-time roll diameter, set tension, actual pressure and equipment operating status, providing data support for production management and quality traceability.

4. The automatic tension control system for the winding tension pressure plate in a strip slitting line according to claim 1, characterized in that, In the real-time roll diameter detection module, the specific weighting coefficients for weighted average processing are determined based on the measurement point positions. The weight of the middle measurement point is 0.5, and the weights of the measurement points at both ends are 0.25 each. After data fusion processing, the system outputs real-time outer diameter data with an accuracy of 0.1 mm and a sampling frequency of 100 Hz.

5. The automatic tension control system for the winding tension pressure plate in a strip slitting line according to claim 1, characterized in that, In the tension calculation and control module, the interpolation calculation process monitors the roll diameter change rate in real time. When an abnormal sudden change is detected, the data filtering algorithm is automatically activated to prevent control command fluctuations caused by measurement interference.

6. An automatic tension control method for a winding tension pressure plate in a strip slitting line, characterized in that, The specific steps of this method are as follows: Step S110: According to the specifications of the steel coil to be slit, retrieve the corresponding standard process data block from the standard process database. The standard process data block contains the coil diameter-tension reference mapping relationship. Step S120: Continuously acquire real-time outer diameter data of the roll material during the winding process using a non-contact measuring device; Step S130: Based on the acquired real-time outer diameter data and the roll diameter-tension reference mapping relationship, the target tension setting value corresponding to the current roll diameter is dynamically calculated using an interpolation algorithm; Step S140: The calculated target tension set value is converted into a pressure plate pressure control command to drive the pressure plate pressure actuator to perform precise pressure adjustment. Step S150: Steps S120 to S140 are continuously executed throughout the entire winding process to form a closed-loop tension control based on the real-time roll diameter. The interpolation algorithm in step S130 specifically adopts the Lagrange quadratic interpolation method. This method selects three standard data points adjacent to the current real-time roll diameter as interpolation nodes, and accurately calculates the target tension value by constructing a quadratic interpolation polynomial. Its mathematical expression is: Where D is the real-time volume diameter. For adjacent standard roll diameter points, For the corresponding standard tension value, The target tension value is calculated.

7. The automatic tension control method for the winding tension pressure plate in a strip slitting line according to claim 6, characterized in that, The pressure control command generation process in step S140 first converts the target tension value into a theoretical pressure value based on the material width and the effective working area of ​​the pressure plate. Then, considering the surface friction coefficient of the roll material and the pressure plate tilt angle correction factor, the final pressure setting value is calculated through the pressure compensation model to ensure that the tension actually acting on the surface of the roll material is consistent with the target tension.

8. The automatic tension control method for the winding tension pressure plate in a strip slitting line according to claim 6, characterized in that, In step S120, the system simultaneously monitors the data consistency of three measurement points. When the data of any measurement point deviates from the data of the other two points by more than 2 mm, the point is automatically marked as abnormal and the arithmetic mean of the remaining two data points is used as the output.

9. The automatic tension control method for the winding tension pressure plate in a strip slitting line according to claim 6, characterized in that, In step S150, the system continuously monitors the change in roll diameter and adjusts the pressure plate pressure accordingly with a control cycle of 10 milliseconds. During the closed-loop control process, the system compares the deviation between the set tension and the actual tension in real time. When the deviation exceeds the set threshold for 5 seconds, an alarm is automatically triggered and abnormal data is recorded.

10. The automatic tension control method for the winding tension pressure plate in a strip slitting line according to claim 6, characterized in that, In step S150, the system predicts the tension requirements for the next 10 control cycles based on the rate of change of roll diameter, adjusts the control parameters in advance, and improves the system response speed.

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