CN-121988617-A - Self-adaptive decoupling control method and system for thickness and tension in rolling process

CN121988617ACN 121988617 ACN121988617 ACN 121988617ACN-121988617-A

Abstract

The invention discloses a thickness and tension self-adaptive decoupling control method and system in a rolling process, and relates to the technical field of automatic control of metal rolling. The method aims to solve the problems that a strong coupling effect exists between a thickness control system and a tension control system in the rolling process and the traditional decoupling method is difficult to adapt to dynamic working conditions. The method comprises the steps of obtaining real-time working condition parameters in a rolling process, dynamically determining decoupling compensation quantity based on the real-time working condition parameters and a thickness-tension coupling relation model through a self-adaptive decoupling controller, and performing feedforward compensation on a thickness control system and a tension control system by the decoupling compensation quantity. The decoupling compensation quantity is dynamically determined and feedforward compensation is carried out, so that the mutual interference between control loops can be actively and accurately counteracted, the working condition change is tracked in real time, the working condition adaptability and the robustness of the system are enhanced, the thickness control precision and the tension stability are obviously improved, and the product quality and the production efficiency are improved.

Inventors

Zhong rixin
CHEN PENG
LAO YUAN
Xiong Yongtang
WU CHUNRONG
YU JIABAO

Assignees

肇庆宏旺金属实业有限公司

Dates

Publication Date: 20260508
Application Date: 20260209

Claims (10)

1. The self-adaptive decoupling control method for the thickness and the tension in the rolling process is characterized by comprising the following steps of: acquiring real-time working condition parameters of a rolling process; Dynamically determining a decoupling compensation amount based on the real-time working condition parameter and a thickness-tension coupling relation model by an adaptive decoupling controller; And performing feedforward compensation on the thickness control system and the tension control system by using the decoupling compensation quantity.
2. The method of claim 1, wherein the dynamically determining the decoupling compensation amount comprises: and updating the model parameters of the coupling relation model on line according to the real-time working condition parameters.
3. The method of claim 2, wherein the coupling relationship model is a transfer function matrix.
4. A method according to claim 3, wherein the step of updating model parameters online is performed using a recursive least squares method.
5. The method of claim 2, wherein the coupling relationship model is a pre-trained back propagation, BP, neural network model; the online updating includes online fine tuning of the model.
6. The method of claim 1, wherein the dynamically determining the decoupling compensation amount comprises: Adjusting parameters of the adaptive decoupling controller by adopting a model reference adaptive control method and adopting a parameter adaptive law designed based on Lyapunov stability theory or a parameter adaptive law designed based on MIT rules so that the actual response of the rolling process tracks the response of an ideal decoupling reference model, and And calculating the decoupling compensation amount based on the adjusted parameters of the self-adaptive decoupling controller.
7. The method of claim 1, wherein the step of determining the position of the substrate comprises, The coupling relation model is a parameter dependent model taking rolling speed and rolling force as explicit variables; And the method further comprises adjusting the decoupling compensation to be generated by adjusting a gain parameter of the adaptive decoupling controller in advance using gain scheduling according to the rolling speed or rolling force of the next rolling pass obtained from a rolling schedule.
8. The method of claim 1, wherein the real-time operating parameters include at least one of a rolling speed, a rolling force, a thickness deviation signal, and a tension deviation signal.
9. The method of claim 1, wherein the rolling process is a 201/2BA stainless steel material rolling process.
10. A rolling process thickness and tension adaptive decoupling control system, comprising: A processor; a memory having stored thereon computer program instructions; An input interface for acquiring the real-time operating parameters from the rolling mill, and An output interface for outputting the decoupling compensation amount to the thickness control system and the tension control system; The computer program instructions, when executed by the processor, implement the method of any one of claims 1 to 9.

Description

Self-adaptive decoupling control method and system for thickness and tension in rolling process Technical Field The invention relates to the technical field of automatic control of metal rolling, in particular to a thickness and tension self-adaptive decoupling control method and system in a rolling process. Background In the cold rolling production process of metal strips, the outlet thickness of the strip steel and the strip steel tension are two key quality and process indexes. Typically, the rolling mill controls these two indices separately by a thickness automatic control system (AGC) and a tension automatic control system (TCS). However, there is a strong coupling effect between the two systems. For example, when the thickness control system adjusts the roll gap to reduce the thickness deviation, it causes a change in rolling pressure, which in turn affects the elastic deformation and the front and rear tension of the strip, whereas when the tension control system adjusts the torque or speed of the coiler or uncoiler to stabilize the tension, it also changes the stress state of the rolling zone, which causes a fluctuation in the strip outlet thickness. Some existing control methods attempt to solve this problem. For example, some methods employ feedforward control based on the second flow invariant principle, but the principle is more error-prone in modeling under high-speed or low-tension conditions. Other methods adopt a fixed decoupling matrix for compensation, but when working conditions such as rolling speed, rolling force, material characteristics and the like change, fixed compensation parameters are difficult to adapt, so that the decoupling effect is reduced, and even system oscillation can be caused. Particularly, when rolling stainless steel materials with extremely high requirements on surface quality and dimensional accuracy, the problems of thickness fluctuation and tension instability caused by coupling interference are particularly remarkable. Therefore, the decoupling control method in the prior art generally has the problem of low adaptability to the dynamically-changed working condition, and high-efficiency decoupling performance is difficult to maintain in the whole rolling process, so that the thickness control precision and the tension stability of the final product are affected. Disclosure of Invention The invention aims to solve the technical problems that a self-adaptive control method capable of dynamically adjusting and realizing high-efficiency decoupling of thickness and tension according to real-time working conditions is provided, so that the problems that in the prior art, a strong coupling effect exists between the thickness and tension control system in the rolling process, the traditional decoupling method is difficult to adapt to the working conditions of dynamic change, and the thickness control precision and the tension stability are low are solved. The invention provides a thickness and tension self-adaptive decoupling control method for a rolling process, which comprises the steps of obtaining real-time working condition parameters of the rolling process, dynamically determining decoupling compensation quantity based on the real-time working condition parameters and a thickness-tension coupling relation model through a self-adaptive decoupling controller, and performing feedforward compensation on a thickness control system and a tension control system by the decoupling compensation quantity. Optionally, the dynamically determining the decoupling compensation comprises updating model parameters of the coupling relation model on line according to the real-time working condition parameters. Optionally, the coupling relation model is a transfer function matrix. Optionally, the step of updating the model parameters online is implemented using a recursive least squares method. Optionally, the coupling relation model is a pre-trained back propagation BP neural network model, and the online updating comprises online fine tuning of the model. Optionally, the dynamically determining the decoupling compensation comprises adopting a model reference adaptive control method, adjusting parameters of the adaptive decoupling controller by adopting a parameter adaptive law designed based on Lyapunov stability theory or a parameter adaptive law designed based on MIT rules so that the actual response of the rolling process tracks the response of an ideal decoupling reference model, and calculating the decoupling compensation based on the adjusted parameters of the adaptive decoupling controller. The method further comprises adjusting the decoupling compensation to be generated by adjusting one gain parameter of the adaptive decoupling controller in advance by adopting gain scheduling according to the rolling speed or rolling force of the next rolling pass obtained from a rolling schedule. Optionally, the real-time operating condition parameters include at least one of rolling spe