IMPROVING THE RESPONSE OF PERMANENT MAGNET SYNCHRONOUS MOTORS TO DISTURBANCES USING PSO TECHNIQUES

Permanent Magnet Synchronous Motors (PMSMs) are widely recognized in industrial applications and have become increasingly important in the renewable energy sector, supporting the global shift toward sustainable energy solutions. This study presents a comprehensive analysis of PMSM speed and torque behavior, aiming to reduce ripple effects and enhance overall motor stability. A modified Particle Swarm Optimization (PSO) algorithm is employed to optimize the parameters of a Proportional-Integral (PI) controller under various disturbance scenarios, including sudden changes in load and speed. The proposed control strategy is evaluated using MATLAB/Simulink simulations. Results demonstrate that the optimized PI controller significantly reduces speed and torque fluctuations compared to traditional tuning methods. The improved dynamic performance is evident through reduced current oscillations and enhanced accuracy, with the system showing strong resilience against load disturbances. Furthermore, a comparative analysis highlights the superior performance of the proposed method over conventional approaches, confirming its effectiveness in achieving more stable and efficient motor operation.