Fuzzy immune pid control for drying process based on LS algorithm and genetic algorithm

According to seriously nonlinear, time - varying and strong coupling of the temperature and humidity of drying process, the immune feedback mechanism and fuzzy control theory were applied to designing a fuzzy immune PID controller, and the parameters of PID controller was optimized with hybrid algorithm. First, least square algorithm was used for off-line optimization to form immune feedback control system. Then, genetic algorithm was used for on-line optimization to get the optimal performance parameters of immune PID control system and the optimal fuzzy proportional parameters. Simulation results showed that based on improved genetic optimization, fuzzy immune PID controller has the features of smaller excess of system output, fewer response time, a shorter stabilization time and better controlling efficiency, and the control performance was better than general PID control and classic fuzzy PID control.