Parameter Auto-tuning Method Based on Self-learning Algorithm

The central air condition system is a complex system. Aimed at the puzzle of optimal status adjusting by once setting parameter of fuzzy PID, the paper proposed a sort of parameter auto-tuning method of fuzzy-PID based on self-learning algorithm. It adopted parameter autotuning technique to adjust the PID parameters in real time so as to ensure good quality of control system. It combined fuzzy logic control with classical PID control, and then made the fuzzy auto-tuning of PID parameter on line, 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, then the system would automatically start the parameter tuning process of PID. The engineering practice shows that the retuned parameters could obtain better control effect than before, therefore the system performance is greatly enhanced, and it is higher in control accuracy, better in stability, stronger in robustness.