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
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;
Conference_Titel :
Control and Decision Conference (CCDC), 2013 25th Chinese
Conference_Location :
Guiyang
Print_ISBN :
978-1-4673-5533-9
DOI :
10.1109/CCDC.2013.6561598
