Fuzzy Neural Networks Used in PID Controller of the Secondary Regulation Speed System

摘要：

Aiming at the control of the secondary regulation speed control system, A new-type of fuzzy neural networks is used in the parameters setting of PID controller, which is helpful to overcome the uncertainty, nonlinearity and time-variability of the system. By establishing the mathematic model of the system, Simulation research are carried out. Simulation results indicate that the fuzzy neural networks model improves the dynamic response of the system.

关键词： Secondary regulation PID controller Fuzzy Neural networks

作者: Min Dong Guoyou Li Lingfeng Li

作者单位: College of Mechanical Engineering, Yanshan University, Qinhuangdao 066004,Hebei, China College of Electrical Engineering, Yanshan University, Qinhuangdao 066004,Hebei, China Information and Mechatronics Department , Hebei Building Material Vocational Technology Institute ,

会议类型: 国际会议

会议名称: International Symposium on Advanced Rolling Equipment Technologies(第一届轧钢设备新技术国际研讨会 ISARET 2010)

会议地点: 太原

会议语种:英文

页码: 20-25

在线出版日期: 2010-09-23（万方平台首次上网日期，不代表论文的发表时间）