Research and Application of Compound Control Based on RBF Neural Network and PID

摘要：

It is difficult to get classic PID controllers preciseparamerers,and PID control method is based on theprecise mathematical model,its adaptiveability is poor.PID control method is not adaptive to nonlinear andtime-variant plants.It is impossible to insure theaccuracy of the system.A method of compound controlbased on RBF neural network and PID is stated in thispaper.This method is applied in the simulation researchof DC Motor speed regulation system.This method canbe used to solve the problem of bad robustness andprerequisite condition that precise mathematical modelsmust be known in advance for the traditional PID controlmethod Simulation results indicate that the systemrobustness and tracking performance are superior tothose of the tradition PID control method.

作者: Li Liu Ke Kang Sheng Zhang

作者单位: Electronic-Engineering Department,YanShanUniversity,Qinhuangdao,066004,China Electronic-Engineering Department,YanShan University,Qinhuangdao,066004,China

会议类型: 国际会议

会议名称: 2008 3rd International Conference on Intelligent System and Knowledge Engineering(第三届智能系统与知识工程国际会议)(ISKE 2008)

会议地点: 厦门

会议语种:英文

页码: 848-850

在线出版日期: 2008-11-17（万方平台首次上网日期，不代表论文的发表时间）