Heliyon (Jun 2024)
Optimal third-order sliding mode controller for dual star induction motor based on grey wolf optimization algorithm
Abstract
This paper introduces a novel approach for controlling a dual-star induction motor by combining third-order sliding mode control with the grey wolf optimization algorithm (TOSMC-GWO). The primary objective is to enhance motor performance by minimizing overshoot, rise time, settling time, overall response time, and steady-state error, while simultaneously mitigating unwanted oscillations in stator currents, rotor flux, and electromagnetic torque. Specifically, the proposed controller addresses the limitations of the indirect field-oriented control (IFOC) technique when using a classic sliding mode controller (IFOC-SMC). The latter suffers from challenges related to reference speed tracking and generates significant ripples in stator current and torque due to the chattering effect. The idea of this work is to replace the classic sliding mode controller with an improved approach combining TOSMC control with the GWO method that uses the same input variables as the traditional controller. The performance of the proposed method is evaluated using numerical simulations conducted in MATLAB, and the comparison with the conventional strategy is demonstrated by two tests, showing the good performance of the IFOC-TOSMC-GWO technique. Practically, the minimization of stator current and torque oscillations is 82.23 % and 84.61 %, respectively, which shows the superiority of the proposed method compared to the conventional sliding mode controller.