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Torque Control in Brushless DC Motor Using Intelligent Linear Quadratic Regulator Controller

Brushless Direct Current (BLDC) motor has been a popular test bed for engineers and researchers over the decades. However, it is characterized by torque ripples which affects the produced torque of the motor. In this paper, a Linear Quadratic Regulator (LQR) controller tuned using modified cultural artificial fish swarm algorithm with crossover is used to obtain the optimal values of the LQR controller matrices for a better output torque of the motor. When a unit step input was given to the system, the proposed intelligent controller performed optimally as compared a classical PID, a classical LQR and an intelligent PD controllers. The results of the proposed controller shows low overshoot, faster settling time and better rise time.