Application of Fuzzy Logic Control for Enhanced Speed Control and Efficiency in PMSM Drives Using FOC and SVPWM

Abstract

PMSMs (Permanent Magnet Synchronous Motors) are favored in industrial systems requiring fast dynamic response and precision, thanks to their high efficiency and torque-to-inertia ratio. To fully leverage these motors, advanced control techniques like Field-Oriented Control (FOC) are essential, as they decouple torque and flux. However, traditional FOC systems often use PI controllers, which suffer from limited adaptability and challenging tuning processes, especially in applications demanding quick responses. To overcome these limitations, the study compared fuzzy logic-based speed control strategies. Three control structures were modelled in MATLAB/Simulink, integrating SVPWM for enhanced performance: traditional FOC with PI controller, FOC with single-input Fuzzy Logic Controller (FLC), and FOC with two-input FLC (FLC2). The simulation results clearly demonstrated FLC2's superior performance, achieving only 0.53% overshoot and a 0.08-second settling time. Quantitative metrics like IAE, ITAE, and ISE further validated FLC2's superiority over conventional control structures. These findings prove that, particularly the two-input FLC, offers a robust and high-performance alternative to traditional PI control in industrial automation, electric vehicles, and energy-efficient motor applications. With its simplicity, adaptability, and improved control performance, FLCs can play a significant role in next-generation smart motor drive technologies.