Remodeling of Fuzzy PID Controller With Neural Network

摘要：

Aimed at computational complexity and poor real-time performance in fuzzy PID control algorithm,selecting fuzzy PID controller as study object,an equivalent RBF neural network model with universal function approximating ability was utilized to accurately approach a known fuzzy PID controller.After that,the same plant model which was controlled by the fuzzy PID controller and the equivalent RBF NN model was simulated with different reference inputs,respectively.Simulated results show that control qualities from two different controllers were extremely similar.Therefore,the fuzzy PID controller can be replaced by an equivalent RBF NN model in order to reduce the computational complexity,avoid the dimensional curse and improve the real-time performance.

作者: HU Wenjin LI Taifu SU Yingying

作者单位: School of Electric &Information Engineering,Chongqing University of Science and Technology,Chongqing Institute of Computational Intelligence,Chongqing University of Science and Technology,Chongqing 401

会议类型: 国际会议

会议名称: The 30th Chinese Control Conference(第三十届中国控制会议)

会议地点: 烟台

会议语种:英文

页码: 1-4

在线出版日期: 2011-07-01（万方平台首次上网日期，不代表论文的发表时间）