Fuzzy RBF neural network in the application of Magnetic Levitation System

摘要：

To solve the problems that magnetic levitation system has the characteristics of openloop instability and nonlinearity and the traditional PID controller is difficult to achieve good control effect because of the fixed parameters, a kind of intelligent PID control system based on fuzzy RBF neural network is proposed in this paper. This method combines the reasoning ability of fuzzy control with study ability of neural network. Fuzzy control and RBF neural network are applied in order to adjust the parameters of PID kp, Ki. and kd online which is to satisfy the static and dynamic performance requirements in magnetic levitation system. By comparing with the conventional PID control, the results showed that, the improved control has better adaptability and robustness which can control magnetic levitation system more effectively.

关键词： magnetic levitation fuzzy RBF network PID control

作者: Jing Zhang Sai Dai Jiamin Li Ning Wang

作者单位: Department of Automation,Harbin University of Science and Technology,Harbin China

会议类型: 国际会议

会议名称: The 6th International Forum on Strategic Technology(IFOST 2011)(第六届国际战略技术论坛)

会议地点: 哈尔滨

会议语种:英文

页码: 990-994

在线出版日期: 2011-08-22（万方平台首次上网日期，不代表论文的发表时间）