Performance Improvement of Brushless DC Motor using PID Controller

Abstract

Permanent Magnet Brushless Direct Current (PMBLDC) motors have more advantages
compared to other motors such as higher efficiency, wide speed and reliability. The performance of BLDC
motor can be upgraded by using Proportional-Integral-Derivative (PID) controller in many of the
applications which needs stability improvement. The proper tuning of PID controller factors is that the main
element to enhance the performance of brushless direct current motor. Many optimization algorithms were
developed to get the best values of PID controller. Out of which Particle Swarm Optimization (PSO)
algorithm is employed to develop and obtain optimum gain values of PID controller by iterations and hence
to enhance the performance of brushless DC motor. The proposed method will be preferred in industries for
constant speed applications. In this proposed technique, the real speed of the motor is maintained with
specified speed. The proposed PID controller is developed and investigated for effective tuning by Particle
Swarm Optimization (PSO) algorithm. The step responses with PID gain values for the different speed
shows the improved performance of the proposed system. The performance characteristics like rise time,
settling time were observed and analysed. The simulation results display the major progress in the
characteristics of BLDC motor.