Rolling thickness control method and device, electronic equipment and storage medium

Abstract

The invention relates to the technical field of lithium battery manufacturing equipment, and discloses a rolling thickness control method and device, electronic equipment and a storage medium. According to the method, in the working process of the roller press, the real-time thickness of a machined object of the roller press is measured, the real-time thickness is compared with the target thickness, all adjusting parameters in a PID control algorithm are updated according to the comparison result, and the adjustment amount of the rolling parameters of the roller press is calculated through the PID control algorithm with the updated adjusting parameters. And therefore, closed-loop control on the rolling thickness is realized. In the working process of the roller press, the adjusting parameters of the PID control algorithm are updated on line according to the real-time condition, extra manpower and time do not need to be occupied for updating the adjusting parameters of the control algorithm, manpower and time consumption is saved, the adjusted adjusting parameters can better adapt to the real-time working condition of the roller press, and the working efficiency of the roller press is improved. And the accuracy of controlling the rolling thickness is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of lithium battery manufacturing equipment, and particularly relates to a method, device, electronic device and storage medium for controlling the rolling thickness. Background Art

[0002] With the rapid development of the new energy industry, lithium-ion batteries have been widely used in fields such as electric vehicles and energy storage. In the production process of lithium-ion batteries, the rolling process is a key link in the formation of electrode sheets. During the rolling process, a specific thickness of electrode sheets is usually produced by controlling the roll gap or rolling force of the rolling machine.

[0003] Due to the non-uniformity of electrode sheet materials and specifications, during the rolling process, it is usually necessary to perform closed-loop control on the roll gap or rolling force of the rolling machine to ensure the consistency of the thickness of the produced electrode sheets. The algorithm model used in traditional closed-loop control is adjusted through offline experiments or trial-and-error methods to ensure the accuracy of the algorithm model parameters. However, it takes a long time to complete the update of the algorithm model manually, and the optimality of the algorithm model cannot be guaranteed. During the application process of the algorithm model, it is impossible to optimize it in a timely manner for actual problems, and the optimization of the algorithm model has a certain lag. Summary of the Invention

[0004] The purpose of the embodiments of the present invention is to provide a method, device, electronic device and storage medium for controlling the rolling thickness. By implementing closed-loop control of the rolling thickness through the PID control algorithm, during the working process of the rolling machine, according to the real-time situation, the adjustment parameters of the PID control algorithm are updated online, without the need to additionally occupy manpower and time for updating the adjustment parameters of the control algorithm, saving the consumption of manpower and time, and the adjusted adjustment parameters can be more adapted to the real-time working conditions of the rolling machine, improving the accuracy of controlling the rolling thickness.

[0005] To solve the above technical problems, an embodiment of the present invention provides a method for controlling the rolling thickness, including: during the working process of the rolling machine, measuring the real-time thickness of the processing object of the rolling machine; comparing the real-time thickness with the target thickness, and updating each adjustment parameter in the PID control algorithm according to the comparison result; wherein, the adjustment parameters include at least one of and combinations of a proportional parameter, an integral parameter, and a derivative parameter; calculating the adjustment amount of the rolling parameters of the rolling machine through the PID control algorithm after updating the adjustment parameters; wherein, the rolling parameters include a roll gap parameter or a rolling force parameter.

[0006] An embodiment of the present invention further provides a control device for the rolling thickness, including: a measurement module for measuring the real-time thickness of the processing object of the rolling machine during the operation of the rolling machine; an update module for comparing the real-time thickness with the target thickness and updating each adjustment parameter in the PID control algorithm according to the comparison result; wherein, the adjustment parameters include at least one of and combinations of a proportional parameter, an integral parameter, and a derivative parameter; a control module for calculating an adjustment amount of the rolling parameters of the rolling machine through the PID control algorithm after updating the adjustment parameters; wherein, the rolling parameters include a roll gap parameter or a rolling force parameter.

[0007] An embodiment of the present invention further provides an electronic device, including: at least one processor; and a memory communicatively connected to the at least one processor; wherein, the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the above control method for the rolling thickness.

[0008] An embodiment of the present invention further provides a computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, the above control method for the rolling thickness is implemented.

[0009] Compared with the prior art, in the embodiment of the present invention, during the operation of the rolling machine, the real-time thickness of the processing object of the rolling machine is measured, the real-time thickness is compared with the target thickness, and each adjustment parameter in the PID control algorithm is updated according to the comparison result. The adjustment amount of the rolling parameters of the rolling machine is calculated through the PID control algorithm after updating the adjustment parameters, thereby realizing the closed-loop control of the rolling thickness. During the operation of the rolling machine, according to the real-time situation, the adjustment parameters of the PID control algorithm are updated online, without the need to additionally occupy labor and time for updating the adjustment parameters of the control algorithm, saving the consumption of labor and time, and the adjusted adjustment parameters can be more adapted to the real-time working conditions of the rolling machine, improving the accuracy of the control of the rolling thickness.

[0010] In addition, updating each adjustment parameter in the PID control algorithm according to the comparison result includes: increasing the proportional parameter when the deviation between the real-time thickness and the target thickness is greater than a first preset threshold.

[0011] In addition, updating each adjustment parameter in the PID control algorithm according to the comparison result includes: increasing the integral parameter when the existence time of the deviation between the real-time thickness and the target thickness is greater than a second preset threshold.

[0012] In addition, updating each adjustment parameter in the PID control algorithm according to the comparison result includes: increasing the derivative parameter when the change trend of the deviation between the real-time thickness and the target thickness is an increasing trend.

[0013] In addition, the update method for each of the adjustment parameters in the PID control algorithm is as follows: By using the gradient descent method, the adjustment parameters are updated iteratively.

[0014] In addition, by using the gradient descent method, the adjustment parameters are updated iteratively. Specifically, the adjustment parameters are updated through an update formula, and the update formula is: K(t + 1) = K(t) - α * W; where K(t + 1) represents the value of the adjustment parameter at time t + 1, K(t) represents the value of the adjustment parameter at time t, α represents the learning rate, and W represents the update result of the adjustment parameter based on the comparison result between the real-time thickness and the target thickness.

[0015] In addition, the adjustment amount of the roll pressing parameters of the roll press is calculated through the PID control algorithm after updating the adjustment parameters, including: calculating the adjustment amount through the PID formula; the PID formula is: where u represents the adjustment amount, K p represents the proportional parameter, K i represents the integral parameter, K d represents the differential parameter, and e represents the deviation between the real-time thickness and the target thickness. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] One or more embodiments are exemplarily illustrated by the pictures in the corresponding drawings. These exemplary illustrations do not constitute limitations on the embodiments. Unless otherwise stated, the figures in the drawings do not constitute a scale limitation.

[0017] Figure 1 is a flowchart of the control method for the roll pressing thickness according to an embodiment of the present invention;

[0018] Figure 2 is a schematic diagram of the simulation result of the control method for the roll pressing thickness according to an embodiment of the present invention;

[0019] Figure 3 is an overall flowchart of the control method for the roll pressing thickness according to an embodiment of the present invention;

[0020] Figure 4 is a schematic structural diagram of the control device for the roll pressing thickness according to an embodiment of the present invention;

[0021] Figure 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0022] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will elaborate on each embodiment of the present invention in conjunction with the accompanying drawings. However, those of ordinary skill in the art can understand that in each embodiment of the present invention, many technical details are provided to help readers better understand the present application. However, even without these technical details and various changes and modifications based on the following embodiments, the technical solutions claimed in the present application can still be implemented.

[0023] The following division of each embodiment is for convenience of description and should not constitute any limitation on the specific implementation manner of the present invention. Under the premise of no contradiction, each embodiment can be combined and cross-referenced with each other.

[0024] An embodiment of the present invention relates to a method for controlling the rolling thickness, including: during the operation of a rolling press, measuring the real-time thickness of the processing object of the rolling press; comparing the real-time thickness with the target thickness, and updating each adjustment parameter in the PID control algorithm according to the comparison result; where the adjustment parameters include at least one of and combinations of a proportional parameter, an integral parameter, and a derivative parameter; calculating the adjustment amount of the rolling parameters of the rolling press through the PID control algorithm after updating the adjustment parameters; where the rolling parameters include a roll gap parameter or a rolling force parameter. To achieve the adaptive update of the adjustment parameters of the PID control algorithm, the adjusted adjustment parameters can be more adapted to the real-time working conditions of the rolling press, improving the accuracy of controlling the rolling thickness. The following specifically describes the implementation details of the method for controlling the rolling thickness in this embodiment. The following content is only implementation details provided for convenience of understanding and is not necessary for implementing this solution.

[0025] In this embodiment, the method for controlling the rolling thickness is as Figure 1 shown, and the method includes:

[0026] Step 101, during the operation of the rolling press, measuring the real-time thickness of the processing object of the rolling press.

[0027] Specifically, the processed object after being rolled by the rolling press is measured for thickness by a thickness gauge to obtain the real-time thickness of the processed object. The thickness gauge can use a high-precision displacement sensor to contact the surface of the pole piece, and obtain the real-time thickness of the processed object through the difference between the value of the displacement sensor when no processed object is placed and the value of the displacement sensor after the processed object is placed. The thickness gauge can also determine the real-time thickness of the processed object by using the propagation speed of ultrasonic waves in the processed object. Or the thickness gauge can also use the principle of laser triangulation reflection or interference to calculate the real-time thickness through the optical path difference of the reflected light on the upper and lower surfaces of the processed object.

[0028] Step 102, comparing the real-time thickness with the target thickness, and updating each adjustment parameter in the PID control algorithm according to the comparison result.

[0029] Step 103: Calculate the adjustment amount of the roll pressing parameters of the roll press through the PID control algorithm after updating the adjustment parameters.

[0030] Specifically, the PID formula is: where u represents the adjustment amount, K p represents the proportional parameter, K i represents the integral parameter, K d represents the derivative parameter, and e represents the deviation between the actual thickness and the target thickness. However, in actual situations, the hardware of the roll press and the materials being roll pressed are not constant. If the same adjustment parameters (K p , K i , K d ) are used as the calculation parameters for the adjustment amount of the roll pressing parameters of the roll press, it may lead to inappropriate calculation of the adjustment amount of the roll pressing parameters. For example, if the machine hardware parameters or product model change, it is necessary to involve manual modification of the adjustment parameters (K p , K i , K d ) to ensure the calculation of the adjustment amount of the roll pressing parameters.

[0031] The embodiment of the present invention proposes a method for adaptively adjusting the adjustment parameters to solve the above problems. First, it is necessary to consider the influence of each adjustment parameter on the deviation between the actual thickness and the target thickness, and set the error function of the square of the deviation between the actual thickness and the target thickness: where J represents the error, e represents the difference between the target thickness D * and the actual thickness D, and t represents the current moment. According to the optimization principle and the chain rule of partial derivatives, the influence of the theoretical change of the proportional parameter K p on the error J value is obtained as: Combined with the above PID formula, it can be obtained that After the positive and negative signs are calibrated, the partial derivative term of D with respect to u on the right side of the formula can be made positive. From the calibrated formula, it can be seen that when the error J is large, increasing the proportional parameter K p can gradually reduce the error J.

[0032] Similarly, according to the optimization principle and the chain rule of partial derivatives, the influence of the theoretical changes of the integral parameter K i and the derivative parameter K d on the error J value is obtained as:

[0033]

[0034] Among the partial derivatives of J with respect to each PID parameter, one item is the partial derivative of the real-time thickness D with respect to the adjustment amount u. From the perspective of the control system, it is essentially the transfer function of the roller press output D with respect to the input u. The physical meaning is the fitting relationship between the real-time thickness and the real-time rolling force (or real-time roll gap parameter) in production. In actual application, the partial derivative of the real-time thickness D with respect to the adjustment amount u can be obtained by fitting historical data or calibrating experimental data.

[0035] In addition, it can be seen from the above formula that when the error J persists, increasing K i It can accelerate the elimination of steady-state errors and reduce J. When the error J tends to expand, increase K. d The damping effect can be enhanced to prevent the error J from further expanding.

[0036] Based on the above analysis, the specific adjustment rules for each adjustment parameter can be formulated as follows: when the deviation between the real-time thickness and the target thickness is greater than the first preset threshold, increase the proportional parameter. When the deviation between the real-time thickness and the target thickness exists for a time greater than the second preset threshold, increase the integral parameter. When the deviation between the real-time thickness and the target thickness changes in an upward trend, increase the differential parameter. When updating the adjustment parameters, one or more adjustment parameters that meet the adjustment rules can be adjusted.

[0037] Compared with the prior art, the embodiment of the present invention measures the real-time thickness of the object being processed by the roller press during operation of the roller press, compares the real-time thickness with the target thickness, and updates the various adjustment parameters in the PID control algorithm according to the comparison result. The adjustment amount of the roller pressing parameters of the roller press is calculated by the PID control algorithm after the adjustment parameters are updated, thereby realizing closed-loop control of the roller pressing thickness. During operation of the roller press, the adjustment parameters of the PID control algorithm are updated online according to the real-time situation, without the need to take up additional manpower and time to update the adjustment parameters of the control algorithm, thus saving manpower and time consumption, and the adjusted adjustment parameters can be more adapted to the real-time working situation of the roller press, thereby improving the accuracy of roller pressing thickness control.

[0038] In addition, considering that the update of the adjustment parameters is too fast, the control action will be out of touch with the system dynamic response, destroying the stability conditions, causing overshoot, phase lag, noise amplification and other problems, and finally manifesting as continuous oscillation. For example, if K p The system's transient response to the error is enhanced, and the output is adjusted drastically to eliminate the error. However, due to system inertia or delay, the actual response lags behind the control signal, resulting in reverse correction after overshoot, forming oscillation. i If the update is too fast, the integral effect will increase rapidly, and the error accumulation will increase sharply. Even if the error has been reduced, the integral term will continue to output too much control, causing the system to overshoot repeatedly and form low-frequency oscillation. dSuddenly increases, the derivative action is overly sensitive to tiny noises, and the output signal frequently jumps. Therefore, it is necessary to reasonably restrict the adjustment rate of each adjustment parameter and design an update strategy for the adaptive adjustment parameter in combination with the dynamic characteristics of the control system. Specifically, the gradient descent method can be used to update the adjustment parameter iteratively. The update formula is: K(t + 1) = K(t) - α * W; where, K(t + 1) represents the value of the adjustment parameter at time t + 1, K(t) represents the value of the adjustment parameter at time t, α represents the learning rate, and W represents the update result of the adjustment parameter based on the comparison result between the real-time thickness and the target thickness. Substitute the theoretical proportional parameter K p , integral parameter K i , and derivative parameter K d 's influence formula on the error J value into the update formula to obtain the update formulas for the proportional parameter K p , integral parameter K i , and derivative parameter K d as follows:

[0039]

[0040] When the PID control algorithm updated by the above update method is used to control the roll pressing thickness, the change of the roll pressing thickness error over time is as shown in Figure 2 . At the moment when the hardware parameters of the machine shown in the figure change, due to the change of the hardware parameters, the error has an obvious increasing trend. However, over time, due to the adaptive optimization of each adjustment parameter in the PID control algorithm, it can be clearly seen that the errors corresponding to the curves of PID control 1 and PID control 2 both quickly recover to near the target value and fluctuate stably near the target value. The curve of PID control 1 represents the control error value of the drive mechanism at one end of the rolling mill, and the curve of PID control 2 represents the control error value of the drive mechanism at the other end of the rolling mill. It can be seen from this that when the system structure changes, the adaptive PID control algorithm provided in this embodiment can quickly adapt to the new system parameters, achieving the effect of reducing errors. Compared with the manual experience adjustment of the PID control algorithm, using the gradient descent rule and the derived update rule to realize the automatic update of the adjustment parameters in the PID control algorithm has higher update efficiency and smaller calculation load.

[0041] Using the above adaptive adjusted PID control algorithm, the roll gap parameter or rolling force parameter of the rolling mill can be adjusted. For the position mode rolling mill, the adjustment amount of the roll gap of the rolling mill is calculated by the above adaptive adjusted PID control algorithm. Specifically, as shown in Figure 3 , determine the target thickness D * and compare it with the real-time thickness D t at time t to obtain the real-time deviation e between the real-time thickness and the target thicknesst , based on the real-time deviation e t Through the above-mentioned adjustment rules, the adjustment parameters (K p , K i , K d ) of the PID controller are adaptively optimized, and the adjusted amount u of the roll gap of the roll press is output by the optimized PID controller t . The roll press adjusts the roll gap parameters according to the adjustment amount u t , and then obtains a pole piece closer to the appropriate thickness. The latest pole piece thickness is re-detected by a thickness gauge to obtain the latest real-time thickness D t , and the above process of comparing the target thickness D * with the real-time thickness D at time t t is repeated to achieve closed-loop control of the rolling thickness. Similarly, for a roll press in rolling force mode, based on the comparison between the target thickness D * and the real-time thickness D at time t t , the rolling force of the roll press is closed-loop regulated, which will not be elaborated one by one here.

[0042] The step divisions of the above various methods are only for clear description. When implemented, they can be combined into one step or some steps can be split into multiple steps. As long as the same logical relationship is included, they are all within the protection scope of this patent; adding insignificant modifications to the algorithm or process or introducing insignificant designs, but not changing the core design of its algorithm and process, are all within the protection scope of this patent.

[0043] An embodiment of the present invention also relates to a control device for rolling thickness, as Figure 4 shown, including: a measurement module 41, configured to measure the real-time thickness of the processing object of the roll press during the operation of the roll press; an update module 42, configured to compare the real-time thickness with the target thickness and update each adjustment parameter in the PID control algorithm according to the comparison result; wherein, the adjustment parameters include at least one and its combination of a proportional parameter, an integral parameter, and a differential parameter; a control module 43, configured to calculate the adjustment amount of the rolling parameters of the roll press through the PID control algorithm after updating the adjustment parameters; wherein, the rolling parameters include: roll gap parameters or rolling force parameters.

[0044] In addition, the update module is configured to increase the proportional parameter when the deviation between the real-time thickness and the target thickness is greater than a first preset threshold.

[0045] In addition, the update module is further configured to increase the integral parameter when the time during which the deviation between the real-time thickness and the target thickness exists is greater than a second preset threshold.

[0046] In addition, the update module is further configured to increase the differential parameter when the change trend of the deviation between the real-time thickness and the target thickness is an increasing trend.

[0047] In addition, the update module is further configured to update the adjustment parameter in an iterative manner by the gradient descent method.

[0048] In addition, the update module is further configured to update the adjustment parameter by an update formula, where the update formula is: K(t + 1) = K(t) - α * W; where K(t + 1) represents the value of the adjustment parameter at time t + 1, K(t) represents the value of the adjustment parameter at time t, α represents the learning rate, and W represents the update result of the adjustment parameter according to the comparison result between the real-time thickness and the target thickness.

[0049] In addition, the control module is configured to calculate the adjustment amount through a PID formula; the PID formula is: where u represents the adjustment amount, K p represents the proportional parameter, K i represents the integral parameter, K d represents the derivative parameter, and e represents the deviation between the real-time thickness and the target thickness.

[0050] Compared with the prior art, in the embodiment of the present invention, the PID controller is an industrial control algorithm with excellent performance and low cost. While retaining the advantages of model-free control of the PID controller as much as possible, this solution realizes online parameter optimization, without manual intervention, and automatically adapts to system changes. Moreover, the model parameters of the controlled object are not used in the parameter optimization process, which is easy to deploy industrially. In the actual application of the lithium electrode sheet production scenario, only simple initial parameter calibration needs to be completed, and then a large number of machines can be introduced. There is no need for personnel to adjust the parameters of each machine one by one and subsequent on-site maintenance. And it can complete self-parameter update when dealing with various product type changes, reduce maintenance requirements caused by equipment aging or working condition changes, and has good robustness.

[0051] It is worth mentioning that each module involved in this embodiment is a logical module. In actual application, a logical unit can be a physical unit, a part of a physical unit, or a combination of multiple physical units. In addition, in order to highlight the innovative part of the present invention, units not closely related to solving the technical problems proposed by the present invention are not introduced in this embodiment, but this does not mean that there are no other units in this embodiment.

[0052] This embodiment can be implemented in cooperation with the above method embodiment. The relevant technical details mentioned in the method embodiment are still valid in this embodiment. To avoid repetition, they are not elaborated here. Correspondingly, the relevant technical details mentioned in this embodiment can also be applied to the above method embodiment.

[0053] The embodiment of the present invention relates to an electronic device, such asFigure 5 As shown in the figure, it includes: at least one processor 501; and a memory 502 communicatively connected to the at least one processor 501; wherein, the memory 502 stores instructions executable by the at least one processor 501, and the instructions are executed by the at least one processor 501 to enable the at least one processor 501 to execute the above-mentioned control method for the rolling thickness.

[0054] Among them, the memory and the processor are connected by a bus. The bus may include any number of interconnected buses and bridges, and the bus connects various circuits of one or more processors and the memory together. The bus can also connect various other circuits such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art, so they will not be further described herein. The bus interface provides an interface between the bus and the transceiver. The transceiver may be an element or multiple elements, such as multiple receivers and transmitters, and provides a unit for communicating with various other devices on the transmission medium. The data processed by the processor is transmitted over the wireless medium through the antenna. Further, the antenna also receives data and transmits the data to the processor.

[0055] The processor is responsible for managing the bus and general processing, and can also provide various functions, including timing, peripheral interface, voltage regulation, power management, and other control functions. The memory can be used to store the data used by the processor when executing operations.

[0056] An embodiment of the present invention relates to a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, the above-mentioned method embodiment is implemented.

[0057] That is, those skilled in the art can understand that all or part of the steps in implementing the above-mentioned method embodiments can be completed by instructing relevant hardware through a program. This program is stored in a storage medium and includes several instructions to enable a device (which can be a single-chip microcomputer, a chip, etc.) or a processor to execute all or part of the steps of the methods described in various embodiments of the present application. The foregoing storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical discs that can store program codes.

[0058] Those of ordinary skill in the art can understand that the above-mentioned embodiments are specific embodiments for implementing the present invention, and in practical applications, various changes can be made in form and details without departing from the spirit and scope of the present invention.

Claims

1. A method for controlling the thickness of rolling, characterized in that, Including: During the operation of the roller press, measuring the real-time thickness of the processing object of the roller press; Comparing the real-time thickness with the target thickness, and updating each adjustment parameter in the PID control algorithm according to the comparison result; wherein, the adjustment parameters include at least one of and combinations of a proportional parameter, an integral parameter, and a differential parameter; Calculating the adjustment amount of the rolling parameters of the roller press through the PID control algorithm after updating the adjustment parameters; wherein, the rolling parameters include a roll gap parameter or a rolling force parameter.

2. The control method for the rolling thickness according to claim 1, wherein The updating each adjustment parameter in the PID control algorithm according to the comparison result includes: When the deviation between the real-time thickness and the target thickness is greater than a first preset threshold, increasing the proportional parameter.

3. The control method for the rolling thickness according to claim 1, wherein The updating each adjustment parameter in the PID control algorithm according to the comparison result includes: When the existence time of the deviation between the real-time thickness and the target thickness is greater than a second preset threshold, increasing the integral parameter.

4. The control method for the rolling thickness according to claim 1, characterized in that The updating each adjustment parameter in the PID control algorithm according to the comparison result includes: When the change trend of the deviation between the real-time thickness and the target thickness is an increasing trend, increasing the differential parameter.

5. The control method for the rolling thickness according to any one of claims 1 to 4, characterized in that The updating method for each of the adjustment parameters in the PID control algorithm is: Using the gradient descent method to update the adjustment parameters iteratively.

6. The control method for the rolling thickness according to claim 5, wherein The using the gradient descent method to update the adjustment parameters iteratively specifically is: Updating the adjustment parameters through an update formula, and the update formula is: K(t + 1) = K(t) - α * W; where K(t + 1) represents the value of the adjustment parameter at time t + 1, K(t) represents the value of the adjustment parameter at time t, α represents the learning rate, and W represents the update result of the adjustment parameter according to the comparison result between the real-time thickness and the target thickness.

7. The control method for the rolling thickness according to claim 1, wherein The calculating the adjustment amount of the rolling parameters of the roller press through the PID control algorithm after updating the adjustment parameters includes: Calculating the adjustment amount through the PID formula; The PID formula is: Among them, u represents the adjustment amount, and K p represents the proportional parameter, and K i represents the integral parameter, and K d represents the differential parameter, and e represents the deviation between the actual thickness and the target thickness.

8. A control device for the thickness of roll pressing, characterized in that, Including: A measurement module for measuring the real-time thickness of the processing object of the roller press during the operation of the roller press; An update module for comparing the real-time thickness with the target thickness and updating each adjustment parameter in the PID control algorithm according to the comparison result; wherein, the adjustment parameters include at least one of and combinations of a proportional parameter, an integral parameter, and a differential parameter; A control module for calculating the adjustment amount of the rolling parameters of the roller press through the PID control algorithm after updating the adjustment parameters; wherein, the rolling parameters include a roll gap parameter or a rolling force parameter.

9. An electronic device, characterized in that, Including: At least one processor; And, A memory communicatively connected to the at least one processor; wherein, The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the control method for rolling thickness as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the control method for the rolling thickness described in any one of claims 1 to 7.

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