A PID neural network controller

被引：0
|
作者：
Yu, YQ [1 ]
Huang, Y [1 ]
Zeng, B [1 ]
机构：
[1] Guangzhou Univ Technol, Inst Comp Sci & Intelligent Engn, Guangzhou 510080, Peoples R China
来源：
PROCEEDINGS OF THE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS 2003, VOLS 1-4 | 2003年
关键词：
fuzzy PID controller; PID neural networks; back-propagation algorithm;
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：
In this paper, the new fuzzy PID controller, which is combined fuzzy controller with PID neural network (PIDNN), is proposed. Its structure is difference from the normal one. The feature of it is to use a PIDNN replace PID parameter loop in controller. And the controller is optimized by the learning processing of PIDNN. The principle of PIDNN is discussed and. the learning method based on back-propagation-algorithm is given. The two processes, first and second order systems, are simulated. Results of simulating show that the fuzzy PID controller presented in this paper is a better adaptive controller for linear or nonlinear plant.
引用
收藏
页码：1933 / 1938
页数：6
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