Brushless DC Motor Controller Optimization Using Simulated Annealing

Abstract

The proportional-integral (PI) and proportional-integral-derivative (PID) controllers are widely used in Brushless Direct Current (BLDC) motors. To accommodate the high performance requirement of the modern industry, optimization of the PI/PID parameters are broadly investigated, and several tuning methods have been proposed. This work illustrates a robust current and speed controllers design method for permanent magnet brushless dc motor (PMBLDCM) where a simulated annealing algorithm is employed to tune the parameters of a PI current controller and a PID speed controller. During the tuning process of controller parameters, three response performance parameters (overshoot, rise time, and settling time) are simultaneously optimized. The technique is compared to both Particle Swarm Optimization and Ziegler-Nichols tuning methods and experimental results show the superiority of the proposed approach.