Robust Simplified Predictive Torque Control of IM Using Hybrid Fuzzy Logic Anti-Windup PI and Sliding Mode Regulation Loops

Salma JNAYAH, Henda BOUYAHI, Adel KHEDHER

Abstract

Predictive Torque Control (PTC) is an effective strategy for high-performance induction motor (IM) drives, that provides a rapid dynamic response and allows an intuitive implementation. The conventional PTC selects the optimal inverter switching state by minimizing a cost function based on torque and flux errors, but this requires all voltage vectors, resulting in a high computational demand. As such, this work proposes a simplified PTC-based approach named Predictive Direct Torque Control (PDTC) which is based on a fuzzy logic anti-windup PI controller and sliding mode speed regulators and employs a reduced switching table with only three voltage vectors, maintaining the prediction accuracy while lowering the computational complexity. Furthermore, the conventional speed loop regulation using a standard PI controller is sensitive to load variations and parameter uncertainties, limiting the performance of the analysed motor. Hence, a robust speed controller is required in order to withstand such unpredictable disturbances. The suggested approach improves the steady-state accuracy and reduces the overshoot under varying operating conditions. The MATLAB/Simulink simulations which were carried out validate the proposed PDTC-based approach, showing notable improvements in torque regulation, reduced torque and flux ripples, and an enhanced robustness in comparison with the traditional torque control algorithms, making it suitable for advanced motor drive applications.

Keywords

Predictive Direct Torque Control, IM, Fuzzy logic, Anti-windup, Load torque change, Sliding mode.

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