Auto-tuning method of fuzzy PID controller parameter based on self-learning system

In order to overcome the puzzle of optimal status being difficult to adjust after once setting PID parameters, the paper proposed a sort of auto-tuning method of fuzzy-PID parameters based on self-learning system. Combined fuzzy logic control with classical PID control, it conducted the fuzzy on-line auto-tuning of PID parameter, and after that, the parameters of adjusted system were switched to the natural work status. Once the change of system performance occurred, and it went beyond the specified range, the system could automatically start the parameters tuning process of PID. The simulation demonstrated that the retuned parameters could obtain better control effect than before. The simulation shows that it is higher in control accuracy, stronger in robustness, and the system performance is greatly enhanced.