Optimal Fractional Order PID Control of Sensorless BLDC Motor

This paper presents the implementation of a Fractional Order PID (FOPID) controller for regulating the angular speed of a Brushless DC (BLDC) sensorless motor. The controller is optimized using the Flower Pollination Algorithm and Genetic Algorithm (GA) to determine the optimal values for the fractional order system parameters and PID parameters of the controller. A comparison between the results obtained from FOPID and PID controllers is conducted, focusing on the strengths of FOPID in terms of rising time, overshoot, and settling time when controlling the angular speed of the BLDC motor. The simulation results unequivocally demonstrate that FOPID is the optimal choice for angular speed control, yielding a satisfactory transient response, particularly with regards to the critical rising time aspect, which holds significance across a wide range of applications involving BLDC motors.