Online Tuning Weighting Factor for A Predictive Torque Control of Induction Motor Drive

This paper proposes an online method to tune the weighting factor of a Finite State Predictive Torque Control (FS-PTC) of an induction motor (IM) drive. The main advantages of this method are its simplicity, not requiring complex calculations, and excellent performance on both flux and torque responses at all speed conditions. The basic idea of this method is to use a Proportional (P)-based controller to tune the weighting factor according to the stator flux error. A simulation using MATLAB/ Simulink is conducted to test the effectiveness of the controller over a wide speed range. The identification algorithm is elaborated in the paper to identify the best value for the proportional gain, kp of the P-controller. The proposed method is compared with the conventional PTC and Direct Torque Control (DTC) techniques, and the simulation results are thoroughly discussed and analyzed. The simulation results showed that the proposed method produced dynamic weighting factors at all speed conditions and provided the best torque control while maintaining the flux ripple within a reasonable value.