Performance Improvement of PMSM Using PID and GA-PID Controllers

A permanent magnet synchronous motor (PMSM) is widely used in AC servo drives because of its high-power density and high torque for industrial applications, with a wide range of applications. The Permanent Magnet Synchronous Motor is modeled, and simulation is used in MATLAB's Simulink. After representing the motor mathematically with the transfer function according to characteristics suitable for applications similar to the proposed characteristics. This paper proposes using PID to improve the performance of PMSM. Then, the genetic algorithm, an optimization method, is used to adjust the P, I, and D parameters. Simulation tests are conducted for an open and closed system circuit without control and with control. The outcomes are contrasted with conventional PID controller tuning by genetic algorithm. This paper uniquely contributes by integrating GA-based PID tuning with PMSM control, offering improved performance over traditional methods. Unlike prior studies that rely on fixed or manually tuned PID controllers, this work optimizes parameters dynamically, leading to enhanced efficiency and accuracy. The simulation results demonstrate the effectiveness of the designed system in terms of reduced settling time, rise time and peak overshoot. The results are compared with traditional trial and error tuning of the PID controller, which gives the GA-PID controller maximum positive overshot =3.3062, undershoot = 0, Settling time 0.4096 sec and rise time =0.0375 sec.