Application of Particle Swarm Optimization (PSO) Algorithm for PID Parameter Tuning in Speed Control of Brushless DC (BLDC) Motor

Abstract

Abstract With the advancement in the technology of power electronics and microelectronics, the use of brushless DC motor has been increasingly expanded. The numerous benefits of brushless DC motor are one of the prime factors that has helped in the rapid expansion in the use of BLDC motor. Simple operation and maintenance, compact volume, light weight, energy conservation, high efficiency, easy regulation of speed and high reliability are some the merits that promotes the increasing use of BLDC motor. Its current application is observed in almost all the sectors of industrial control. BLDC motor drivers are most widely used in motion control applications. With the increasing necessity of designing effective control strategy, the use of electronically commuted brushless DC motors is increasing rapidly in various industrial applications. For this purpose, cheap and efficient speed regulator is needed for the motor. Proper tuning of PID can also be one of the ways of controlling BLDCM. This paper adopts intelligent controlling technique for the reduction of torque ripple, settling time and overshoot through the use of MATLAB and SIMULINK.