Coil tension control method, device and system for cold rolled strip steel

Abstract

The present application relates to the field of tension control technology, and specifically to a coiling tension control method, device and system applied to cold-rolled strip steel, the method comprising: obtaining data of each monitoring parameter in the coiling process of the cold-rolled strip steel to form each monitoring parameter sequence; determining a deviation coefficient according to the difference between the maximum value data of any two monitoring parameter sequences, combining the correlation between the any two monitoring parameter sequences, obtaining the response deviation between the any two monitoring parameters, and obtaining the relative response delay of each monitoring parameter in the coiling tension feedback monitoring process of the strip steel by analyzing the weight difference of the relative response change of each monitoring parameter sequence, and adjusting the proportional gain of each monitoring parameter in the coiling tension feedback control in combination with the preset initial proportional gain of each monitoring parameter to control the coiling tension in the coiling process of the cold-rolled strip steel. The present application can improve the accuracy of coiling tension control of the strip steel.

Description

Technical Field

[0001] The present application relates to the technical field of tension control, and in particular to a coiling tension control method, device and system for cold-rolled strip steel. Background Art

[0002] Cold-rolled strip is an important metal material, widely used in automobile manufacturing, home appliance production, construction and other fields. The production process of cold-rolled strip mainly includes raw material preparation, pickling, cold rolling, annealing, finishing, quality inspection, packaging and transportation. After flattening and shearing in the finishing step, the cold-rolled strip needs to be coiled for storage and transportation. The stability of the coiling tension in the production process of cold-rolled strip not only puts higher requirements on the rolling process conditions, but also has a great impact on the plate shape, dimensional accuracy and product quality. Therefore, the control of the tension during the coiling process of cold-rolled strip is one of the important control parameters in the production process of cold-rolled strip. Choosing a suitable control method in the production process can effectively improve the quality and performance of the cold-rolled strip after coiling.

[0003] However, in the production process of cold-rolled strip, the coiling tension control method usually adopts direct tension control, indirect tension control and composite tension control. The change of coiling tension in the coiling process of cold-rolled strip is related to the speed between the coiler and the pinch roller, that is, when there is a speed difference between the coiler and the pinch roller, the tension of the strip coiling is generated. However, the existing control method does not consider the influence of the asynchronous difference response between the coiling and the coiling radius and the speed on the coiling tension control response, thereby reducing the control accuracy of the coiling tension in the coiling process of cold-rolled strip and affecting the quality and performance of the cold-rolled strip after coiling. Summary of the invention

[0004] In order to solve the above technical problems, the purpose of this application is to provide a coiling tension control method, device and system for cold-rolled strip steel. The technical solutions adopted are as follows:

[0005] In a first aspect, an embodiment of the present application provides a coiling tension control method for cold-rolled strip steel, comprising the following steps:

[0006] Acquire data of each monitoring parameter at each acquisition time during the coiling process of the cold-rolled strip, and respectively form each monitoring parameter sequence; the monitoring parameters include: speed data of the speed measuring roller, speed data of the coiler, tension data during the coiling process, and radius data of the coiled strip;

[0007] Determine the deviation coefficient between any two monitoring parameters according to the difference between the maximum value data of any two monitoring parameter sequences;

[0008] According to the correlation between the arbitrary two monitoring parameter sequences and in combination with the deviation coefficient of the arbitrary two monitoring parameters, obtaining the response deviation between the arbitrary two monitoring parameters;

[0009] By analyzing the weight differences of the relative response changes of each monitoring parameter sequence and combining the overall level of the response deviation between each monitoring parameter and all other monitoring parameters, the relative response delay of each monitoring parameter in the strip coiling tension feedback monitoring process is obtained.

[0010] By combining the relative response delay with the preset initial proportional gain of each monitoring parameter, the proportional gain of each monitoring parameter in the curling tension feedback control is adjusted to control the curling tension in the coiling process of the cold-rolled strip.

[0011] Preferably, the process of determining the deviation coefficient between any two monitoring parameters is:

[0012] Each monitoring parameter sequence is fitted, and the maximum values ​​of each fitting curve are arranged in ascending time order to form each maximum value sequence; the deviation coefficient between any two monitoring parameters is determined based on the average level of the difference between all elements in the same position in the maximum value sequences of any two monitoring parameters.

[0013] Preferably, the coefficient of deviation between any two monitoring parameters is the average value of the differences between all elements at the same position in the maximum value sequence of the any two monitoring parameters.

[0014] Preferably, the response deviation expression between any two monitoring parameters is:

[0015] ;in, Indicates Species and Response deviation between the various monitoring parameters; and Respectively represent and A monitoring parameter sequence of monitoring parameters, represents the Pearson correlation coefficient; Indicates and The coefficient of deviation between the monitored parameters.

[0016] Preferably, the relative response delay expression of each monitoring parameter in the strip coiling tension feedback monitoring process is:

[0017] ;in, Indicates the relative response delay of the xth monitoring parameter in the strip coiling tension feedback monitoring process; Indicates Species and Response deviation between the various monitoring parameters; and They represent the weights of the relative response changes corresponding to the xth and yth monitoring parameters respectively; Indicates the number of types of monitoring parameters.

[0018] Preferably, the weight of the relative response change corresponding to each monitoring parameter is obtained by taking the monitoring parameter sequence corresponding to each monitoring parameter as the input of the objective weighting method to obtain the weight of the relative response change corresponding to each monitoring parameter.

[0019] Preferably, the proportional gain of each monitoring parameter in the curling tension feedback control is further adjusted as follows:

[0020] The product of the preset initial proportional gain of each monitoring parameter and the normalized result of the relative response delay is analyzed, and the sum of the product and the preset initial proportional gain is used as the proportional gain of each monitoring parameter after adjustment during the strip coiling tension feedback monitoring process.

[0021] In a second aspect, an embodiment of the present application provides a coiling tension control device for cold-rolled strip steel, the device comprising:

[0022] The tension control data acquisition module is used to obtain the data of each monitoring parameter at each acquisition time during the coiling process of the cold-rolled strip, and respectively form each monitoring parameter sequence; the monitoring parameters include: the speed data of the speed measuring roller, the speed data of the coiler, the tension data during the coiling process, and the radius data of the coiled strip;

[0023] A tension control data analysis module, used to determine the deviation coefficient between any two monitoring parameters according to the difference between the maximum value data of any two monitoring parameter sequences;

[0024] According to the correlation between the arbitrary two monitoring parameter sequences and in combination with the deviation coefficient of the arbitrary two monitoring parameters, obtaining the response deviation between the arbitrary two monitoring parameters;

[0025] By analyzing the weight differences of the relative response changes of each monitoring parameter sequence and combining the overall level of the response deviation between each monitoring parameter and all other monitoring parameters, the relative response delay of each monitoring parameter in the strip coiling tension feedback monitoring process is obtained.

[0026] The tension control module is used to adjust the proportional gain of each monitoring parameter in the curling tension feedback control through the relative response delay combined with the preset initial proportional gain of each monitoring parameter, so as to control the curling tension in the coiling process of the cold-rolled strip.

[0027] In a third aspect, an embodiment of the present application also provides a coiling tension control system for cold-rolled strip, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the processor implements the steps of any one of the above-mentioned methods when executing the computer program.

[0028] It can be seen from the above that the coiling tension control method, device and system for cold-rolled strip provided in the present application have at least the following beneficial effects:

[0029] This application takes into account that the traditional control method in the cold-rolled strip coiling process does not analyze the asynchronous difference response between the strip coiling and the coiling radius and the rotation speed, and the influence on the coiling tension control response, and thus the influence of the relative corresponding response deviation of the strip coiling on the tension control result cannot be avoided by determining the feedback parameters;

[0030] Therefore, the present application analyzes the relative delay response differences between the reel speed, speed measuring roller speed, tension and reel radius in the strip coiling tension feedback control process, and conducts a comprehensive comparative analysis of the overall and local deviations of the asynchronous response of the collected monitoring parameters to obtain the response deviation. The beneficial effect is that the overall and local asynchronous difference responses of the tension feedback control process are comprehensively considered, and then the response characteristic differences between different monitoring parameters in the strip coiling tension feedback control process are accurately reflected through the response deviation.

[0031] Furthermore, by combining the asynchronous response differences between different monitoring parameters in the strip coiling tension feedback monitoring process and the relative delayed response characteristics of different parameters in the coiling process, the relative response delay of the strip coiling tension feedback monitoring is calculated, and the parameters in the strip coiling process are optimized and adjusted through the relative response delay. The beneficial effect lies in that the stage effective corresponding coefficient accurately analyzes the relative delayed response differences of the monitoring parameters of the tension feedback monitoring at different stages, and accurately adjusts the relevant parameters of the tension control, thereby improving the accuracy of the strip coiling tension control and reducing the influence of the response differences between the strip coiling and the coiling radius and the rotation speed on the coiling tension control response. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present application or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0033] Figure 1 A flow chart of the steps of the coiling tension control method for cold-rolled strip provided in the present application;

[0034] Figure 2 A schematic diagram of the installation of various sensors in the cold-rolled strip coiling process provided in this application;

[0035] Figure 3 This is a device block diagram of a coiling tension control device for cold-rolled strip provided in this application. DETAILED DESCRIPTION

[0036] In order to further explain the technical means and effects adopted by the present application to achieve the predetermined invention purpose, the following is a detailed description of the coiling tension control method, device and system for cold-rolled strip steel proposed in the present application, its specific implementation method, structure, features and effects in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0037] Unless otherwise specified and limited, terms such as "comprises", "comprising" or any other variants thereof are intended to cover non-exclusive inclusion, so that a circuit structure, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such articles or devices. In the absence of further restrictions, an element defined by the sentence "comprising a ..." does not exclude the presence of other identical elements in the article or device including the element. In addition, the term "and\or" used herein includes any and all combinations of one or more related listed items. All technical and scientific terms used herein have the same meaning as those commonly understood by technicians in the technical field of this application.

[0038] The specific scheme of the coiling tension control method, device and system for cold-rolled strip provided by the present application is described in detail below with reference to the accompanying drawings.

[0039] See also Figure 1 , which shows a flowchart of a coiling tension control method for cold-rolled strip provided by an embodiment of the present application, comprising the following steps:

[0040] Step 1: Obtain the data of each monitoring parameter at each collection time during the coiling process of the cold-rolled strip, and form each monitoring parameter sequence respectively.

[0041] During the coiling process of cold-rolled strip steel, the speed sensor, tension sensor and displacement sensor are installed to collect speed data, tension data and displacement data. The strip steel coiling radius can be obtained through the displacement data installed on the coiler. The acquisition process includes calculating the coiling radius through the sum of the coiler drum radius and the displacement. The schematic diagram of the installation of the speed sensor, displacement sensor and tension sensor during the coiling process of cold-rolled strip steel is shown in the figure below. Figure 2 As shown, Figure 2 In the figure, number 1 indicates the tension sensor installed on the reel side of the coiler, numbers 2, 3 and 4 indicate the reel, pinch roller and speed measuring roller respectively, numbers 5 and 6 are both speed sensors; number 7 indicates the displacement sensor, Figure 2 The M represents two motors.

[0042] The monitoring parameters that can be obtained through the above-mentioned acquisition device during the coiling process of the cold-rolled strip include: the speed data of the speed measuring roller, the speed data of the coiler, the tension data during the coiling process and the radius data of the coiled strip. The data collected for each monitoring parameter up to the current moment are arranged in ascending time order as the monitoring parameter sequence of each monitoring parameter in the strip coiling tension control process; since there may be interference from the sensor working environment during the data acquisition process, resulting in a large number of noise signals in the data acquisition process of the monitoring parameters, a Gaussian filter is used to perform denoising processing on the collected monitoring parameter sequence to obtain each monitoring parameter sequence after denoising processing.

[0043] At this point, the monitoring parameter sequences of the strip coiling process are obtained.

[0044] Step 2: Determine the deviation coefficient between any two monitoring parameters based on the difference between the maximum value data of any two monitoring parameter sequences.

[0045] Normally, the coiling tension in the cold-rolled strip coiling process is generated by the difference between the speed of the coiler and the speed of the speed measuring roller, that is, the coiling speed of the coiler is kept greater than the transmission speed of the pinch roller, and the coiling speed and the transmission speed are kept stable, so as to obtain a stable cold-rolled strip coiling tension. However, in the actual production process, due to the operation of the motor and the change in the coiling radius, there is a delay difference between the response to the change in the coiler speed and the response to the change in the speed measuring roller speed, thus causing a delay in the control response to the change in tension in the cold-rolled steel strip coiling process. The traditional control method does not consider the relationship between the asynchronous response of the speed difference that generates tension and the response to the change in coiling tension, resulting in a low efficiency in the tension feedback monitoring response in the actual strip coiling process.

[0046] In response to the above problems, this embodiment accurately analyzes the correlation change differences between the asynchronous response of the rotational speed and the coiling tension response during the coiling process of the cold-rolled strip, and the phased effective response characteristics of the strip coiling feedback monitoring up to the current moment, and then accurately controls the cold-rolled strip coiling tension based on the analysis results.

[0047] Since in the winding tension control system, the change of the reel radius in the winder is an important factor affecting the tension control, the change of the reel radius is directly related to the response change of the winding process speed and the winding tension of the winder; therefore, for the monitoring parameter sequence of each monitoring parameter obtained above, each monitoring parameter sequence is mapped to a two-dimensional rectangular coordinate system with the horizontal axis as time and the vertical axis as the numerical value of each monitoring parameter, and curve fitting is performed. In this embodiment, for the convenience of description, the curve obtained by fitting is recorded as a monitoring parameter response curve, and the horizontal axis of the monitoring parameter response curve is the data acquisition time, and the vertical axis is the data of the monitoring parameter.

[0048] Furthermore, since the data of the monitoring parameters of the strip coiling process under normal operation of the cold-rolled strip usually show synchronous change characteristics, if the coiling tension fluctuates during the strip coiling process, a deviation will occur between the reel speed and the speed measuring roller speed, that is, an asynchronous response difference may occur; therefore, for the monitoring parameter response curve of each monitoring parameter, the maximum value in the monitoring parameter response curve is obtained, and the sequence of data corresponding to all maximum values ​​in ascending time order is taken as the maximum value sequence.

[0049] Further, the difference between the maximum value sequences of any two monitoring parameters is analyzed, that is, the degree of deviation between the maximum values ​​in the monitoring parameter sequences of any two monitoring parameters is analyzed. Preferably, in this embodiment, the difference between the elements at the same position in the maximum value sequences of any two detection parameters is calculated. In this embodiment, the difference between the elements at the same position is characterized by taking the absolute value of the difference between the elements at the same position. In the actual application scenario, the implementer sets it by himself. It should be noted that if the number of elements in the two maximum value sequences is not equal, they are padded with 0 elements; further, the average value of the difference between all the elements at the same position in the maximum value sequences of any two detection parameters is used as the deviation coefficient between the said any two monitoring parameters.

[0050] Step three: according to the correlation between the arbitrary two monitoring parameter sequences and in combination with the deviation coefficient of the arbitrary two monitoring parameters, obtain the response deviation between the arbitrary two monitoring parameters.

[0051] In order to accurately analyze the local characteristic differences of the response changes of each monitoring parameter, this embodiment will analyze the response differences between different monitoring parameters, specifically: analyze the correlation between the monitoring parameter sequences of different monitoring parameters, combine the deviation coefficients of different monitoring parameters, and calculate the response deviation between different monitoring parameters. , in this embodiment, the expression is:

[0052] ;in, Indicates Species and Response deviation between the various monitoring parameters; and Respectively represent and A monitoring parameter sequence of monitoring parameters, represents the Pearson correlation coefficient; Indicates and The larger the calculated response deviation is, the greater the deviation in the response between the two monitoring parameters of the tension control in the strip coiling process is, that is, there is a delayed response between the monitoring parameters in the tension control process of the strip coiling.

[0053] Step 4: By analyzing the weight differences of the relative response changes of each monitoring parameter sequence and combining the overall level of response deviation between each monitoring parameter and all other monitoring parameters, the relative response delay of each monitoring parameter in the strip coiling tension feedback monitoring process is obtained.

[0054] After the above steps and processes, the relative delay characteristics of the tension control response of the strip coiling are accurately compared and analyzed by comprehensively analyzing the overall response deviation and the correlation difference between the monitoring parameters of the tension control in the strip coiling process and the local time interval response. Furthermore, due to the different response delay characteristics between the monitoring parameters at different monitoring stages in the strip coiling process, for example, the main factor causing the deviation of the tension control is the deviation of the relative difference in the rotation speed between the reel and the speed measuring roller, that is, the delay in the response of the rotation speed between the reel and the speed measuring roller, which further causes the tension to have a delayed characteristic, and finally makes the strip coiling radius of the reel change disorderly, which may cause the strip to deviate, the coiling tension to be too large or too small to affect the strip performance, and other phenomena.

[0055] Therefore, based on the overall and local response characteristic analysis between different monitoring parameters in the strip coiling tension control process, the relative response delay characteristics of different monitoring parameters of the strip coiling process tension control are further analyzed; specifically, the monitoring parameter sequence corresponding to the speed measuring roller speed, reel speed, tension and reel radius is used as input, and the CRITIC objective weighting method is used to obtain the weight of the relative response change of each monitoring parameter. The larger the weight, the greater the response delay difference of the corresponding monitoring parameter compared with other monitoring parameters in the tension control process.

[0056] Furthermore, according to the delay difference of the relative response of each monitoring parameter and the response deviation between each monitoring parameter and other monitoring parameters, the relative response delay of each monitoring parameter in the strip coiling tension feedback monitoring process is calculated. , the specific calculation relationship is as follows:

[0057] ;in, Indicates the relative response delay of the xth monitoring parameter in the strip coiling tension feedback monitoring process; Indicates Species and Response deviation between the various monitoring parameters; and They represent the weights of the relative response changes corresponding to the xth and yth monitoring parameters respectively; Indicates the number of types of monitoring parameters; the larger the calculated relative response delay is, the greater the relative response delay of the monitoring parameter is during the strip coiling tension feedback monitoring process.

[0058] At this point, the relative response delay in the strip coiling tension feedback monitoring process is obtained.

[0059] Step 5: By combining the relative response delay with the preset initial proportional gain of each monitoring parameter, the proportional gain of each monitoring parameter in the curling tension feedback control is adjusted to control the curling tension during the coiling process of the cold-rolled strip.

[0060] The relative response delays of all types of monitoring parameters in the strip coiling tension feedback control monitoring process up to the current strip coiling production moment are calculated, and the Z-score normalization algorithm is used to obtain the normalized results of all relative response delays. In the strip coiling tension feedback monitoring process, the larger the relative response delay corresponding to each monitoring parameter is, the more significant the relative delay response of the corresponding monitoring parameter is up to the current strip coiling moment, and the greater the proportional gain required in the tension control adjustment process.

[0061] Therefore, based on the above analysis, the proportional gain in the strip coiling tension feedback monitoring process is adjusted according to the relative response delay corresponding to each monitoring parameter, thereby improving the accuracy of the response to different influencing parameters of tension control in the strip coiling process. Specifically, the product of the preset initial proportional gain of each monitoring parameter and the normalized result of the relative response delay is analyzed, and the sum of this product and the preset initial proportional gain is used as the proportional gain of each monitoring parameter after adjustment in the strip coiling tension feedback monitoring process.

[0062] In this embodiment, the preset initial proportional enhancements corresponding to the speed data of the speed measuring roller, the speed data of the coiler, the tension data during the coiling process, and the radius data of the coiled strip are set to 0.8, 0.5, 1.0, and 0.75, respectively, and can be set by the implementer.

[0063] It should be noted that since the feedback control of the tension during the strip coiling process is mainly controlled by adjusting the speed between the speed measuring roller and the reel, the speed control of the speed measuring roller and the reel during the strip coiling process is mainly achieved through the PI controller. The proportional gain of the PI control corresponding to the speed measuring roller and the reel during the control process is The above adjustment process determines and then realizes the control of the coiling tension of the cold-rolled strip. Specifically, the control steps in this embodiment include:

[0064] S1, collecting data of various monitoring parameters during the coiling process of cold-rolled strip steel, and obtaining the relative response delay between the speed measuring roller and the coiling speed through the response characteristic analysis results between the monitoring parameters;

[0065] S2, adjusting the proportional gain in the PI controller according to the relative response delay of the speed measuring roller and the winding drum speed, so as to improve the accuracy of the response to the speed measuring roller and the winding drum speed change;

[0066] S3, optimizes the speed control of the speed measuring roller and the reel through the adjusted PI controller, thereby controlling the tension of the cold-rolled strip during coiling.

[0067] Furthermore, according to the above-mentioned strip coiling tension feedback control process, based on the difference in the stage-by-stage relative response state of each monitoring parameter relative to other monitoring parameters up to the current moment, the proportional gain of the PI controller is adjusted to achieve precise control of the coiling tension during the cold-rolled strip coiling process.

[0068] On the other hand, the embodiment of the present application also provides a coiling tension control device for cold-rolled strip steel, the device comprising:

[0069] The tension control data acquisition module is used to obtain the data of each monitoring parameter at each acquisition time during the coiling process of the cold-rolled strip, and respectively form a sequence of each monitoring parameter;

[0070] A tension control data analysis module, used to determine the deviation coefficient between any two monitoring parameters according to the difference between the maximum value data of any two monitoring parameter sequences;

[0071] According to the correlation between the arbitrary two monitoring parameter sequences and in combination with the deviation coefficient of the arbitrary two monitoring parameters, obtaining the response deviation between the arbitrary two monitoring parameters;

[0072] By analyzing the weight differences of the relative response changes of each monitoring parameter sequence and combining the overall level of the response deviation between each monitoring parameter and all other monitoring parameters, the relative response delay of each monitoring parameter in the strip coiling tension feedback monitoring process is obtained.

[0073] The tension control module is used to adjust the proportional gain of each monitoring parameter in the curling tension feedback control through the relative response delay combined with the preset initial proportional gain of each monitoring parameter, so as to control the curling tension in the coiling process of the cold-rolled strip.

[0074] Specifically, the device block diagram of the coiling tension control device applied to cold-rolled strip steel is as follows: Figure 3 shown.

[0075] Based on the same inventive concept as the above method, an embodiment of the present application also provides a coiling tension control system applied to cold-rolled strip, including a memory, a processor, and a computer program stored in the memory and running on the processor. When the processor executes the computer program, the steps of any one of the above-mentioned coiling tension control methods applied to cold-rolled strip are implemented.

[0076] It is to be understood that the sequence of the embodiments of the present application described above is for description only and does not represent the advantages and disadvantages of the embodiments. The above describes specific embodiments of the present specification. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0077] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

[0078] The above content is only an implementation method of the present application and is not intended to limit the scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the present application specification and drawings, or directly or indirectly used in other related technical fields, are also included in the protection scope of the present application.

Claims

1. A coiling tension control method for cold-rolled strip steel, characterized in that: The following steps are involved: Acquire data of each monitoring parameter at each acquisition time during the coiling process of the cold-rolled strip, and respectively form each monitoring parameter sequence; the monitoring parameters include: speed data of the speed measuring roller, speed data of the coiler, tension data during the coiling process, and radius data of the coiled strip; Determine the deviation coefficient between any two monitoring parameters according to the difference between the maximum value data of any two monitoring parameter sequences; According to the correlation between the arbitrary two monitoring parameter sequences and in combination with the deviation coefficient of the arbitrary two monitoring parameters, obtaining the response deviation between the arbitrary two monitoring parameters; By analyzing the weight differences of the relative response changes of each monitoring parameter sequence and combining the overall level of the response deviation between each monitoring parameter and all other monitoring parameters, the relative response delay of each monitoring parameter in the strip coiling tension feedback monitoring process is obtained. By combining the relative response delay with the preset initial proportional gain of each monitoring parameter, the proportional gain of each monitoring parameter in the coiling tension feedback control is adjusted to control the coiling tension during the coiling process of the cold-rolled strip; The relative response delay expression of each monitoring parameter in the strip coiling tension feedback monitoring process is: ;in, Indicates the relative response delay of the xth monitoring parameter in the strip coiling tension feedback monitoring process; Indicates Species and Response deviation between the various monitoring parameters; and They represent the weights of the relative response changes corresponding to the xth and yth monitoring parameters respectively; Indicates the number of types of monitoring parameters.

2. The coiling tension control method for cold-rolled strip steel according to claim 1, characterized in that: The process of determining the deviation coefficient between any two monitoring parameters is as follows: Each monitoring parameter sequence is fitted, and the maximum values ​​of each fitting curve are arranged in ascending time order to form each maximum value sequence; the deviation coefficient between any two monitoring parameters is determined based on the average level of the difference between all elements in the same position in the maximum value sequences of any two monitoring parameters.

3. The coiling tension control method for cold-rolled strip steel according to claim 2, characterized in that: The deviation coefficient between any two monitoring parameters is the average value of the differences between all elements at the same position in the maximum value sequence of the any two monitoring parameters.

4. The coiling tension control method for cold-rolled strip steel according to claim 1, characterized in that: The response deviation expression between any two monitoring parameters is: ;in, Indicates Species and Response deviation between the various monitoring parameters; and Respectively represent and A monitoring parameter sequence of monitoring parameters, represents the Pearson correlation coefficient; Indicates and The coefficient of deviation between the monitored parameters.

5. The coiling tension control method for cold-rolled strip steel according to claim 1, characterized in that: The weight of the relative response change corresponding to each monitoring parameter is obtained by taking the monitoring parameter sequence corresponding to each monitoring parameter as the input of the objective weighting method to obtain the weight of the relative response change corresponding to each monitoring parameter.

6. The coiling tension control method for cold-rolled strip steel according to claim 1, characterized in that: The proportional gain of each monitoring parameter in the curling tension feedback control is further adjusted as follows: The product of the preset initial proportional gain of each monitoring parameter and the normalized result of the relative response delay is analyzed, and the sum of the product and the preset initial proportional gain is used as the proportional gain of each monitoring parameter after adjustment during the strip coiling tension feedback monitoring process.

7. A coiling tension control device for cold-rolled strip steel, implementing the method as claimed in claim 1, characterized in that: The device comprises: The tension control data acquisition module is used to obtain the data of each monitoring parameter at each acquisition time during the coiling process of the cold-rolled strip, and respectively form each monitoring parameter sequence; the monitoring parameters include: the speed data of the speed measuring roller, the speed data of the coiler, the tension data during the coiling process, and the radius data of the coiled strip; A tension control data analysis module, used to determine the deviation coefficient between any two monitoring parameters according to the difference between the maximum value data of any two monitoring parameter sequences; According to the correlation between the arbitrary two monitoring parameter sequences and in combination with the deviation coefficient of the arbitrary two monitoring parameters, obtaining the response deviation between the arbitrary two monitoring parameters; By analyzing the weight differences of the relative response changes of each monitoring parameter sequence and combining the overall level of the response deviation between each monitoring parameter and all other monitoring parameters, the relative response delay of each monitoring parameter in the strip coiling tension feedback monitoring process is obtained. The tension control module is used to adjust the proportional gain of each monitoring parameter in the curling tension feedback control through the relative response delay combined with the preset initial proportional gain of each monitoring parameter, so as to control the curling tension in the coiling process of the cold-rolled strip.

8. A coiling tension control system for cold-rolled strip steel, comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

Images