Research on brushless DC motor control system based on fuzzy parameter adaptive PI algorithm
نویسندگان
چکیده
منابع مشابه
Brushless DC Motor Speed Control System Based on Fuzzy Neural Network Control
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 robus...
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For digital model of brushless DC motor, simulation models can be built in MATLAB / Simulink. Simulation parameters are selected parameters according to the actual system. The conventional PID control algorithm produce large overshoot and oscillation, we use fuzzy logic PID algorithm to response quickly and back the system overshoot to steady state, the steady state has a higher precision, fast...
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ژورنال
عنوان ژورنال: AIP Advances
سال: 2020
ISSN: 2158-3226
DOI: 10.1063/5.0025000