The Application of Fuzzy PI and RBF Neural Network Tuning PID in Servo System

被引：1
|
作者：
Li, Guozhi [1 ]
Ren, Xiaohong [1 ]
Ren, Bing [1 ]
Qiu, Ling [1 ]
机构：
[1] Sichuan Univ Sci & Engn, Coll Automat & Elect Informat, 180 Huixinglu Rd, Zigong, Sichuan, Peoples R China
来源：
PROCEEDINGS OF 2013 CHINESE INTELLIGENT AUTOMATION CONFERENCE: INTELLIGENT AUTOMATION | 2013年 / 254卷
关键词：
PID; Fuzzy; RBF neural network; Servo system;
D O I：
10.1007/978-3-642-38524-7_78
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Fuzzy logic and neural network control strategies are studied. Based on the servo system of PMSM, fuzzy logic and RBF neural network are used to tune the PID controller's parameters, and put forward a kind of auxiliary scheme about RBF neural network tuning PID controller. The simulation results show that, for difficult to establish the precise mathematical model of the time-varying, nonlinear systems and linear controller and traditional PID controller cannot obtain satisfactory control effect, combining fuzzy logic and neural network with the conventional PID can make the servo system has strong robustness, preferable control precision and faster dynamic response.
引用
收藏
页码：711 / 719
页数：9
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