Improve PMSM Speed Control Efficiency by Optimized Fuzzy Controller Based on Jaya Optimization Algorithm

Permanent magnet synchronous motors (PMSM) have the advantages of easy control, high efficiency, high power density, and low maintenance cost. Therefore, they are preferred for applications requiring variable speed and load torque, such as Computerized Numerical Control (CNC) systems and electric vehicle drivetrain systems. Fuzzy logic controllers (FLCs) are widely used for PMSM speed control because they can respond well to changes in motor parameters under different operating conditions. The FLC design process is often based on the designer's experience, and the correction process is based on trial and error until the desired effect is achieved. With high nonlinearity and multi-extremum characteristics, the trial-and-error method is difficult and time-consuming, so it is often impossible to give a suitable design. The paper proposes to use the Jaya Optimization Algorithm (JOA) to find the optimal output Membership Functions (MF) of the FLC. The simulation results of PMSM speed control based on the Optimal Fuzzy controller are compared with the speed control results of the conventional Fuzzy and PI controller. Based on the Integral of the Time-weighted Absolute Error (ITAE) index, the error in PMSM speed control has been reduced by 50% compared to the conventional Fuzzy controller.