Optimal PI controller parameter setting for torque ripple minimization in SVPWM–DTC based BLDC motor drive using sine cosine algorithm

Abstract This paper focuses on the selection of the most suitable values for the PI controller parameters to minimize the discrepancy between the desired reference values and the actual values of speed and torque in the context of Space Vector Pulse Width Modulation-Direct Torque Control (SVPWM-DTC) of Brushless DC motors (BLDCM). To effectively fine-tune the PI controller, the criteria of Integral of Squared Speed Error (ISSE), Integral of Squared Torque Error (ISTE), and Integral of Squared Flux Error (ISFE) are taken into account as the objective functions across various scenarios. Nevertheless, when it comes to optimizing multiple objective functions, the most optimal approach is to reduce their linear combination. This paper employs JAYA and Sine Cosine algorithms (SCA) for the calibration of the gain parameters of the PI Controller. To assess the effectiveness of the proposed optimal PI controller for SVPWM-DTC of BLDCM, simulations are conducted. According to the findings of the simulations, the Sine Cosine technique yields a remarkable improvement by reducing the torque ripple and controlling the speed peaks overshoot reducing it to 61.6% and 11.9% respectively, and the JAYA algorithm.