Identification and Control of Elongation System of Skin Passing Mill Based on Intelligent Algorithm

摘要: In view of the nonlinear, time-varying and time-delay characteristics elongation control system skin pass mill, according to analysis mechanism model BP neural network was used identify structural parameters model. With reference regulating function biological immune fuzzy reasoning logic which can approach nonlinear function, a PID strategy proposed improve accuracy mill combining feedback with traditional control. The simulation results show that has advantages small overshoot, fast response, strong anti-interference ability robustness, effect is better than method.