DocumentCode
620369
Title
The speed control of brushless DC motor based on fuzzy genetic algorithm
Author
Gu Deying ; Xia Rui
Author_Institution
Dept. of Autom. Eng., Northeastern Univ. at Qinhuangdao, Qinhuangdao, China
fYear
2013
fDate
25-27 May 2013
Firstpage
3737
Lastpage
3740
Abstract
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.
Keywords
brushless DC motors; fuzzy control; fuzzy systems; genetic algorithms; machine vector control; velocity control; brushless DC motor; control rules; fuzzy genetic algorithm; membership function; optimized fuzzy control system simulation; scaling factors; speed control; Equations; Fuzzy control; Genetic algorithms; Mathematical model; Niobium; Stator windings; BLDCM; Fuzzy control; Genetic Algorithm; MATLAB;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location
Guiyang
Print_ISBN
978-1-4673-5533-9
Type
conf
DOI
10.1109/CCDC.2013.6561598
Filename
6561598
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