Abstract

DAS, U.  and  BISWAS, P. K.. Relative study of classical and fuzzy logic controllers in a closed-loop BLDC motor drive with the GA and PSO optimization technique. J. appl. res. technol [online]. 2021, vol.19, n.4, pp.379-402.  Epub Feb 14, 2022. ISSN 2448-6736.  https://doi.org/10.22201/icat.24486736e.2021.19.4.1039.

In this paper, simplified transfer function and detailed mathematical modelling based on the closed-loop structure of a BLDC drive has been established with various combinations of classical controllers. The 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, the system is comprised of two control loops for better speed and torque control implementation for certain purposes. The system is examined in MATLAB Simulink with various combinations of the classical and fuzzy controllers. As the inner current loop should be ahead in the procedure associated with the external speed loop, thus PI controllers are mostly chosen as a current controller. These controller’s gains are enhanced by means of two optimization methods, particle swarm optimization and genetic algorithm, to get a better response by eliminating the steady-state error, max peak overshoot and decreasing the rising time, peak time, of the projected BLDC motor drive.

Keywords : BLDC motor; closed-loop; classical controller; SPWM; fuzzy controller; PSO; GA.

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