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Proceedings of 2009 International Workshop on Information Security and Application (IWISA 2009)

Qingdao, China, November 21-22, 2009

Editors: Feng Gao and Xijun Zhu

AP Catalog Number: AP-PROC-CS-09CN004

ISBN: 978-952-5726-06-0

Page(s): 173-176

Brushless DC Motor Speed Control System Based on Fuzzy Neural Network Control

Yongjian Lv, Hu Fan, Qiang Zou, and Jing Wan

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As brushless DC motor (BLDCM) is a multi- variable and non-linear system, using conventional PID control can not obtain satisfied control effect. Based on the mathematic model of BLDCM, a fuzzy neural network controller is designed, and the membership function is composed by Guass function. The system illustrates that excellent flexibility and adaptability as well as high precision and good robustness is obtained by the proposed strategy.

Index Terms

Guass function; BLDCM; fuzzy neural network; learning arithmetic

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