Optimal Design and Analysis of High-Speed Permanent Magnet Synchronous Motor Based on Genetic Algorithm and TOPSIS Method

To improve the performance of the high-speed permanent magnet synchronous motor (HSPMSM), this paper focuses on researching a 30 kW, 60,000 r/min HSPMSM and optimizing its motor structure. The 30 kW, 60,000 r/min HSPMSM was structurally designed and analyzed using finite element software to construct a finite element model. The no-load and load characteristics of the motor were also examined to verify the design’s reasonableness. Secondly, the optimization variables for the motor are eight structural parameters, and the optimization objectives are output torque, torque pulsation, and cogging torque. The motor is optimized using a genetic algorithm (GA) with multi-objective optimization. The optimal solution is selected from the set of Pareto solutions using the technique for order preference by similarity to an ideal solution (TOPSIS) method. The results indicate that the motor’s output torque increased by 10% after optimization. Additionally, torque pulsation decreased by 53%, cogging torque decreased by 29%, and the motor’s vibration and noise issues were significantly improved. These improvements verify the effectiveness of the HSPMSM optimization scheme.