FFA-based speed control of BLDC motor drive

Abstract

This paper presents the speed control of brushless direct current (BLDC) motor drive using nature-inspired algorithm. These algorithms can be applied to any virtual problem that can be treated as an optimisation task. The proposed design problem of speed controller is formulated as an optimisation problem and firefly algorithm (FFA) is employed to search for optimal proportional-integral-derivative (PID) parameters of speed controller by minimising the time domain objective function. The performance of the proposed FFA-PID controller for the speed control of brushless direct current motor has been tested under sudden change of set-point, load torque for below rated speed and rated speed, the performance of the proposed controller is compared with bat algorithm based controller BA-PID. The brushless direct current motor drive has been simulated using MATLAB/SIMULINK and simulation results demonstrate the effectiveness of the proposed algorithm in controlling the speed of motor drive when compared with bat algorithm through some time domain parameters.