Design a Fuzzy Logic Based Speed Controller for DC Motor with Genetic Algorithm Optimization

被引：0

作者：

Changizi, Nemat ^{[1
]}

Moghadas, Mahbubeh ^{[1
]}

Dastranj, Mohamadreza ^{[1
]}

Farshad, Mohsen ^{[2
]}

机构：

[1] Islamic Azad Univ, Gonabad Branch, Gonabad, Iran

[2] Birjand Univ, Fac Engn, Birjand, Iran

来源：

MECHANICAL AND AEROSPACE ENGINEERING, PTS 1-7 | 2012年 / 110-116卷

关键词：

Dc Motor; Nonlinear control; Fuzzy logic controller; Genetic algorithm;

D O I：

10.4028/www.scientific.net/AMM.110-116.2324

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

In this paper, an intelligent speed controller for DC motor is designed by combination of the fuzzy logic and genetic algorithms. First, the speed controller is designed according to fuzzy rules such that the DC drive is fundamentally robust. Then, to improve the DC drive performance, parameters of the fuzzy speed controller are optimized by using the genetic algorithm. Simulation works in MATLAB environment demonstrate that the genetic optimized fuzzy speed controller became very strong, gives very good results and possesses good robustness.

引用

页码：2324 / +

页数：3

共 10 条

[1] Genetic algorithm for the design of a class of fuzzy controllers: An alternative approach [J].