Comparative analysis of permanent magnet synchronous motor performance by using fuzzy logic with PI controller

This study investigates the performance of Permanent Magnet Synchronous Motors (PMSMs) under the control of a Fuzzy Logic Controller (FLC) with a Proportional-Integral (PI) controller. PMSMs are widely recognized for their high efficiency, reliability, and low maintenance requirements, making them suitable for various industrial applications such as robotics, aerospace, and electric vehicles. Despite the prevalent use of PI controllers, they often struggle with the nonlinear dynamics of PMSMs, leading to significant overshoot, prolonged settling times, and sensitivity to parameter variations. These challenges can result in suboptimal performance and increased system wear and tear. To address these issues, this research explores the implementation of an FLC, which is adept at managing imprecision and uncertainty in system behavior without requiring an exact mathematical model. The study utilizes MATLAB Simulink to design and simulate both PI with FLC systems for PMSM speed control. Key performance metrics, including speed accuracy, transient response, and system stability, were rigorously evaluated under various operating conditions. Simulation results indicate that the FLC outperforms the PI controller, offering enhanced transient response, reduced overshoot, and quicker settling times. Additionally, the FLC's auto-tuning capability allows for easier adjustments and better adaptability to varying industrial environments, increasing its practical applicability. This study concludes that the FLC provides a more robust and adaptive control strategy for PMSMs, presenting a valuable alternative to traditional PI control methods in industrial applications.