Electric vehicle (EV) propulsion systems rely heavily on Permanent Magnet Synchronous Motors (PMSMs) because of their exceptional torque performance, compact size, and great efficiency. Choosing the best control method for PMSM drives has become crucial as EV needs continue to rise. Field-Oriented Control (FOC), Direct Torque Control (DTC), Model Predictive Control (MPC), Sliding Mode Control (SMC), and intelligent control techniques like Fuzzy Logic Control (FLC) and Artificial Neural Networks (ANN) are just a few of the advanced control strategies that are applied to PMSM drives in this paper. The functioning principles, benefits, drawbacks, and applicability for EVs of each technique are examined. A comparison of performance metrics is provided, including robustness, torque ripple, dynamic responsiveness, and computing needs. The paper's conclusion offers perspectives on the state of PMSM drive control systems for electric mobility, including current trends and potential future directions.
Keywords: Permanent Magnet Synchronous Motor (PMSM), Electric Vehicle (EV), Field-Oriented Control (FOC), Direct Torque Control (DTC), Model Predictive Control (MPC), Sliding Mode Control (SMC), Fuzzy Logic Control (FLC), Artificial Neural Network (ANN), Torque Ripple, Sensorless Control.
