Adaptive Fuzzy PID Regulator for the Speed Control of Brushless Dc Motor

This paper presents an intelligent speed control system based on self tuning fuzzy PID controller for a brushless DC motor.PWM based motor current control is implemented with the help of three hall sensors placed around the motor shaft and a three phase inverter model is implemented for motor commutation .Dynamic performance of electromagnetic torque developed are analysed for this model. Traditional speed control system of BLDCM introduces conventional PI regulator in outer speed loop which debases the performance of whole system. To overcome this problem, replacement of PI controller by an intelligent controller based on fuzzy set theory is proposed. The performance of the intelligent controller has been investigated through Matlab Simulink package for different operating conditions such as sudden changes in load torque. The simulation results demonstrate that the performance of the proposed controller is better than that of conventional PI controller.