Comparison between Fuzzy and Adaptive Fuzzy Controllers for Speed Control of BLDC Motors
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This study presents the design of an adaptive fuzzy logic controller for the speed control of brushless dc motors. The proposed system uses an adaptation of the slope of the membership functions of the variables used in the conventional fuzzy controller based on the magnitude of the error. A simulation analysis of the fuzzy controller and the adaptive fuzzy controller are done and their performances are compared. The adaptive fuzzy controller is better than the fuzzy controller based on the steady state error and rise time.The permanent magnet brushless dc (BLDC) motor is increasingly being used in some applications such as: computer, aerospace, military, automotive, industrial and household products because of its high torque, compactness, and high efficiency. In these applications, motor should be precisely controlled so as to give desired performance. Brushless dc motors have been put into practical use because of high efficiency and good controllability. A brushless dc motor requires an inverter and a position sensor to perform “commutation”. Three Hall sensors have been used as a position sensor for the brushless dc motor.
M. R. Alizadeh Pahlavani – M. Barakat Department of Electrical Engineering Malek-Ashtar University of Technology (MUT) Tehran, Iran