Application of Fuzzy Immune PID Control Based on GA in Bending Control System

A novel control strategy of Fuzzy-Immune PID based on GA is proposed in this paper. The strategy learns from the immune feedback principle of biological immune system and takes advantage of the good approaching ability of fuzzy control to achieve nonlinear function of the immune controller, and then the GA algorithm is used to optimize parameters of PID controller and immune controller. Apply the strategy into the bending control system of rolling mills with characteristics of high nonlinearity, time-varying and time-delay. The simulation results indicate that the strategy has strong adaptability to the transformation of the system parameters and has advantages of low overshoot, short adjusting time, strong anti-disturbance ability and great robustness.