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

被引：0
|
作者：
Liu, Li [1 ]
Kang, Ke [1 ]
Zhang, Sheng [1 ]
机构：
[1] YanShan Univ, Dept Elect Engn, Qinhuangdao 066004, Peoples R China
来源：
2008 3RD INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEM AND KNOWLEDGE ENGINEERING, VOLS 1 AND 2 | 2008年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
It is difficult to get classic PID controller's precise paramerers, and PID control method is based on the. precise mathematical model, it's adaptiveability is poor. PID control method is not adaptive to nonlinear and time-variant plants. It is impossible to insure the accuracy of the system. A method of compound control based on RBF neural network and PID is stated in this paper. This method is applied in the simulation research of DC Motor speed regulation system. This method can be used to solve the problem of bad robustness and prerequisite condition that precise mathematical models must be known in advance for the traditional PID control method. Simulation results indicate that the system robustness and tracking performance are superior to those of the tradition PID control method.
引用
收藏
页码：848 / 850
页数：3
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