Intelligent Decoupling For Flatness And Gauge Control System In Cold 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, 1700 mm cold 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,referred to invasive weed optimization[1-2](IWO)、IWOPSO[3]、the comparison of improved IWOPSO[4]algorithm, to separate the wheat from the chaff and establish the mathematical model of the conventional PID decoupling control research and simulation, the simulation results show that the decoupling control effect is good, but the reaction time and poor anti-interference ability. Therefore, on the basis of this proposed based on improved gIWOPSO of PID neural network decoupling control strategy, and apply it to the decoupling control of thickness of the strip shape system. Decoupling control results show that the composite algorithm decoupling response speed and anti-interference ability is superior to traditional PID decoupling control effect.