Brushless DC Motor Speed Control System Based on Fuzzy Neural Network Control
نویسندگان
چکیده
As brushless DC motor (BLDCM) is a multivariable 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.
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