The Speed Control of Brushless DC Motor Based on Fuzzy Genetic Algorithm

被引：0

作者：

Gu Deying ^{[1
]}

Xia Rui ^{[1
,2
]}

机构：

[1] Northeastern Univ Qinhuangdao, Dept Automat Engn, Qinhuangdao 066004, Peoples R China

[2] Northeastern Univ, Sch Informat Sci & Engn, Shenyang 110000, Peoples R China

来源：

2013 25TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2013年

关键词：

BLDCM; Fuzzy control; Genetic Algorithm; MATLAB;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, the speed control of brushless DC motor based on fuzzy Genetic Algorithm is discussed. The paper uses Genetic Algorithm to optimize the control rules, membership function and scaling factors of fuzzy control system. At last, the simulation of optimized fuzzy control system is carried out. The result of simulation indicated that the optimized control system could give a good control performance.

引用

页码：3737 / 3740

页数：4

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