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.
fuzzy PID controller self-learning system parameters auto-tuning
Zhangli Yang Lei Li Buqing Liu
School of Architecture and Materials Chongqing College of Electronic Engineering Chongqing,China College of Automation Chongqing University Chongqing,China
国际会议
厦门
英文
229-234
2014-08-19（万方平台首次上网日期，不代表论文的发表时间）