Optimal BLDC Motor Control Using a WOA-based LQR Strategy

The Brushless Direct Current (BLDC) motors find variety of application in industry because of their linear torque-speed curve, which allows smooth control of their angular speed and position. In this work, authors have proposed a novel Linear Quadratic Regulator (LQR) controller strategy based on Whale Optimization Algorithm (WOA) algorithm for the efficient control of speed of BLDC motor. The transient response obtained from LQR-WOA controlled BLDC motor has been evaluated and compared with that of conventional LQR and PID controllers. The proposed work has achieved significant improvements in settling time of the transients while tracking reference speed. Also, the robustness of the proposed method has been discussed after considering step disturbance in the input of the system. Further, the efficacy of proposed method has been re-verified after considering variations in speed reference of BLDC motor.