Intelligent Control Algorithm based on T-S Fuzzy Neural Network PID and Its Applications

摘要：

With the combination of T-S fuzzy model and conventional PID controller, as well as by means of the self learning and self-organizing ability of neural network, an intelligent control algorithm based on T-S fuzzy neural network PID control is presented in this paper. With this control algorithm, an pressure controller for solenoid valve test was designed and the corresponding simulation was carried out to show its highly dynamic and stable traits, strong self-adaptive ability and anti-interference ability of this controller, the simulation results also revealed that the T-S fuzzy neural network PID controller is much better than conventional PID controller and simple fuzzy controller.

关键词： T-S model fuzzy control neural network PID control

作者: Li Lina Wu Xinjie Yang Yang

作者单位: College of Physics, LiaoNing University, Shenyang, Liaoning, 110036, China

会议类型: 国际会议

会议名称: 2010 International Conference on Intelligent Computation Technology and Automation(2010 智能计算技术与自动化国际会议 ICICTA 2010)

会议地点: 长沙

会议语种:英文

页码: 1723-1727

在线出版日期: 2010-05-11（万方平台首次上网日期，不代表论文的发表时间）