The speed control of brushless DC motor based on fuzzy genetic algorithm

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...

Full description

Saved in:
Bibliographic Details
Published in2013 25th Chinese Control and Decision Conference (CCDC) pp. 3737 - 3740
Main Authors Gu Deying, Xia Rui
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2013
Subjects
BLDCM
Equations
Fuzzy control
Genetic Algorithm
Genetic algorithms
Mathematical model
MATLAB
Niobium
Stator windings
Online AccessGet full text

Cover

More Information
Summary: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.
ISBN:9781467355339
146735533X
ISSN:1948-9439
1948-9447
DOI:10.1109/CCDC.2013.6561598