Optimizing Dual Star Induction Motor Peak Performance Using Direct Torque Control Based on Nonlinear Predictive Speed Controller

This paper introduces an advanced approach to controlling a dual-star induction motor (DSIM), employing a direct torque control (DTC) with a nonlinear model predictive speed controller to elevate its overall performance. The proposed control system enhances the traditional DTC technique by incorporating a predictive controller, this entails optimizing a cost function using the Taylor series expansion articulated through the Lie derivative. Through extensive simulations conducted in Matlab/Simulink, the efficiency of the suggested approach is investigated in various tests, and a comprehensive comparative study is made, the proposed NMP-DTC exhibits robustness against sudden disruptions, including variations in load torque and uncertainties in the electrical and mechanical parameters of DSIM, and demonstrates significant reductions in torque and current ripples, offering promising prospects for enhancing DSIM operations across a wide array of electrical drive applications.