Speed Control of Brushless DC motor using Fractional Order Fuzzy PI Controller Optimized via WOA

Abstract

DC motor is one of the most straightforward and valuable equipment in industrial applications; hence its speed control is crucial and vital. PI controller is usually performed on speed control of BLDC motor due to its simplicity and popularity. PI controller's main drawback is its constant gain and cannot perform well in nonlinear and uncertain systems. Nonlinearity and uncertainty lie in the nature of BLDC. The fuzzy controller, as an intelligent controller, can handle this problem. In this study, a fractional-order fuzzy PI (FOFPI) controller is proposed to speed control of the BLDC motor. The controller parameters are optimized via Whale Optimization Algorithm (WOA). To check the control system's robustness, its performance has been investigated at different speeds. As the results show, the excellent account (less overshoot, less settling time, etc.) and the proposed controller's robustness are verified.