Fine Tuning of Closed Loop BLDC Motor using Traditional PID Control

Abstract

Brush less DC (BLDC) motor demands for variable speed operation to accord the adjudicated of effectiveness. Several speed controlling strategies are used in this perspective for the successful operation of BLDC motors at various speed levels. The existing techniques perform adequately for a fixed speed reference. Existing techniques fail to follow the path during dynamic changes in reference speed. As a result, it is necessary to regulate the speed of the BLDC motor during dynamic conditions. The residual error content is minimized to achieve speed regulation. If the residual error content increases, there will be a difference between the actual and reference speeds, resulting in poor speed regulation. Therefore, in this paper the closed loop BLDC motor is fine tuned in perception of dynamic conditions. The traditional PID controller and Advanced Particle Swarm Optimization (APSO) algorithms are simulated under identical platforms using ramp, step and sinusoidal reference speeds.