The study of optimal fuzzy PID-Smith control based on genetic algorithm

摘要：

　　In this paper,the improved genetic algorithm is applied to optimize the quantization factors and the scaling factors of fuzzy control,and the optimized rule table and membership functions is obtained according to certain performances.Then a kind of optimal fuzzy PID-Smith control method based on genetic algorithm is proposed and its simulation model is built in this paper,a second-order system is simulated and analyzed.The results show that requirements of deterministic performances of the new control method are better than the conventional methods through the simulation results in the stability,rapidity and robustness.

关键词： Fuzzy-PID Controller Smith predictor Genetic Algorithm

作者: Liu Dianting Li Haixia

作者单位: College of Mechanical and Control Engineering,Guilin University of Technology,Guilin 541004,china

会议类型: 国际会议

会议名称: 2012 2nd International conference on Machinery Electronics and Control Engineering (2012年第二届国际机械电子与控制工程会议(ICMECE 2012))

会议地点: 济南

会议语种:英文

页码: 448-452

在线出版日期: 2012-12-29（万方平台首次上网日期，不代表论文的发表时间）