Fuzzy Logic-Based Controller of PMSM Motor for EV Application

Permanent Magnet Synchronous motors are preferred in the latest variable speed drives in EV applications as it improves motor efficiency by approximately 10%, increasing Permanent Magnet Synchronous Motors (PMSMs) usage in various industries. It has a compact size, reduced maintenance needs, high reliability, and impressive dynamic performance. The Fuzzy controller overcomes the complexity of PI controller tuning and increased response time. Which has better error detection & correction, low time response, and does not require mathematical equations. Vector control has emerged as a highly successful method for effectively managing Permanent Magnet Synchronous Motors (PMSMs) by maximizing torque per current. To achieve regulation of the independent current components, it is necessary to transform the motor model into a stationary reference frame. Accurate knowledge of the rotor position is vital to ensure the smooth operation of the drive. A vector-controlled PMSM drive comprises two interconnected loops: an outer loop for speed control and an inner loop for current control. This hierarchical control structure enables precise speed regulation and exemplary-grained management of the motor's current components, enhancing overall performance and efficiency. Using fuzzy logic in the current loop, the control system can handle non-linearities, uncertainties, and complex dynamics more effectively than a traditional PI controller. In this project, the performance of the PMSM motor is tested and analyzed using PI & Fuzzy in MATLAB Simulink software.