Different Control Techniques of Permanent Magnet Synchronous Motor with Fuzzy Logic for Electric Vehicles: Analysis, Modelling, and Comparison

This paper presents a detailed analysis and comparative study of three torque control methodologies with fuzzy logic, namely direct (DTC), (FDTC), model predictive (MPDTC), for PMSM applied to an electric vehicle. The strategies are designed developed in order achieve vehicle requirements, such as minimum flux ripples, fast dynamic response, maximum efficiency. To enhance the performance efficiency overall drive, bidirectional DC/DC buck-boost converter is connected Li-ion battery. In addition, logic controller (FLC) used outer loop speed PMSM. As result, tuning difficulty conventional proportional-integral (PI) avoided response improved. Simulation results obtained from techniques establish that proposed system via MPDTC technique reduces THD current, achieves faster transient response. Additionally, MPTDC enabled cover longest distance, approximately 110.72 km charging cycle. real-time simulation using RT LAB simulator, confirm superiority over DTC FDTC techniques.