Intelligent Decoupling For Flatness And Gauge Control System In Hot Strip Rolling

Flatness and gauge are two most important factors of strip quality. Automatic flatness control(AFC) and automatic gauge control (AGC) are complex coupled multivariable system. Thus how to complement and improve the control level of AFC-AGC system is already at the front line of current study on strip rolling technology.With the rapid development of intelligence control theory, these theories are used in AFC-AGC. The AFC-AGC is a complex system with nonlinear, strong coupling and big time delay, so the general control methods can’t satisfy results. As a result, modern control technology associated with the intelligence technology has been the development trend of AFC-AGC.Firstly, In this paper,1700mm hot strip mill as the background, the model of AFC-AGC system is established by analysising the coupled variables and changes of the variables. Thus we make an intensive study of AFC-AGC.Secondly, the advantages and disadvantages of several commonly used algorithm of decoupling control are studied and analyzed. It verifies the reasonableness of this topic and necessity through MATLAB verified system does exist the strong coupling.Finally, the established mathematical model for the conventional PID control, research and simulation results show that its decoupling control is better, but the anti-interference ability is poor. Therefore, it is proposed a multivariable PID control algorithm based on quasi-diagonal recurrent neural network (QDRNN), and its application to the flatness and gauge multivariable decoupling control system. Decoupling control results show that the composite algorithm is decoupled response speed and anti-jamming capability significantly better than the traditional PID decoupling control.