Relative study of Classical and fuzzy logic Controllers in Closed Loop BLDC Motor Drive with GA and PSO optimization techniques

Abstract

In this paper, one simplified transfer function based and detailed mathematical modelling based closed loop structure of a BLDC drive has been established with various combinations of classical controllers. Typical PWM operated control strategy is incorporated in the conventional two-level inverter (VSI) fed permanent magnet (BLDC) motor to minimize the torque ripple. To form a typical closed-loop structure, it comprises of two control loops for better speed and torque control implementation in certain purposes. The system is examined in MATLAB Simulink with various combinations of the classical and fuzzy controllers. Though the inner current loop should be ahead in procedureassociatedwith the external speed loop, thus PI controllers are mostlychosen as a current controller. These controller gains are enhancedby means of two optimization methods of Particle swarm optimization and Genetic algorithm to get a betterresponse by eliminating steady-state error, max peak overshoot and decreasing the rising time, peak time, of the projected BLDC motor drive.