Sliding Mode Observer Based Predictive Torque Control of PMa-SynRM

This article explores the implementation and comparative analysis of Sliding mode observer (SMO) based Model Predictive Torque Control (MPTC) for Permanent Magnet Assisted Synchronous Reluctance Motor (PMa-SynRM) versus conventional Model Predictive Torque Control. The proposed SMO-based MPTC strategy aims to enhance the performance and efficiency of PMa-SynRM by eliminating the need for mechanical sensors, thus reducing system complexity and cost. The conventional MPTC method, while effective, relies on precise sensor data for optimal performance, which can be a limitation in specific applications. This paper presents an SMO-based sensorless control algorithm that leverages state estimation techniques to accurately predict and control the torque and flux linkage of the PMa-SynRM. Through extensive simulations, the effectiveness of the sensor-less MPTC in maintaining robust performance under various operating conditions is demonstrated. The results indicate that the sensor-less approach not only matches but sometimes surpasses the conventional MPTC in terms of dynamic response, efficiency, and robustness. This research underscores the potential of sensor-less control methodologies in advancing the performance and applicability of modern electric machines in Electric Vehicles.