Research Of Position Control System Of Rolling Mill

The accuracy of strip gauge and strip flatness are two quality targets of strip production. At present, they have huge advancement with the development of rolling theory, fuzzy control theory ,neural network theory and with their application in the rolling process. However, it is still one of researching hotspot problems in strip gauge control accuracy.It is difficult for the hydraulic servo position system to solve the problem that is caused by the parameters variety,outside disturbance and the friction nonlinear dead zone of the servo valve. It is well known that it is not necessary to get an accurate model of the system for fuzzy control. So the research that fuzzy control and PID control are applied to control the hydraulic servo position system has practical meaning and theory meaning.The paper at first introduces rolling theory and fuzzy control theory,then deduces the ideal mathematical model of the generalized control object of Φ250 / Φ750×800 rolling mill, the generalized control object includes electro-hydraulically servo valve and hydraulic pump. On the basis of the mathematical model,a fuzzy adaptive PID controller are proposed. The paper does many simulation of the fuzzy adaptive PID controller and the traditional PID controller.The outside disturbance and parameters variety are took into account in the course of simulation .The results of simulation shows that the fuzzy adaptive PID controller has better robust character than the traditional PID controller.At the same time ,both of the two controller have good performances and good static state control accuracy in rolling mill position control system .The study shows the fuzzy adaptive PID controller is feasibility and it has better robust character than the traditional PID controller...