Optimization of High Speed Permanent Magnet Synchronous Motor Based on Co-simulation Method

2023 5th Asia Energy and Electrical Engineering Symposium (AEEES) Pub Date : 2023-03-23 DOI:10.1109/AEEES56888.2023.10114116

D. Zhou, Lifen Lu, Changqing Yang

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Abstract

To improve the optimization efficiency and electromagnetic performance of HSPMSM. This paper presents an optimization method of HSPMSM co-simulation based on genetic algorithm and TOPSIS method. Firstly, parametric modeling of HSPMSM was carried out with ANSYS Maxwell finite element simulation software. Furthermore, the Maxwell&Workbench&Optislang co-simulation model of HSPMSM with 4 poles and 30 slots was established. Secondly, the Pareto solution set is obtained by using genetic algorithm for global multi-objective optimization. The optimal design scheme of high speed permanent magnet synchronous motor was selected from solution set by using TOPSIS method. Finally, the performance of the high speed motor before and after the optimal design is compared. The simulation results show that the genetic algorithm and TOPSIS method can not only improve the multi-objective optimization efficiency of high speed motor. And effectively weaken the motor torque ripple and groove torque. The electromagnetic performance of high speed motor is improved.

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基于联合仿真方法的高速永磁同步电机优化

目的:提高HSPMSM的优化效率和电磁性能。提出了一种基于遗传算法和TOPSIS方法的HSPMSM联合仿真优化方法。首先，利用ANSYS Maxwell有限元仿真软件对HSPMSM进行参数化建模。在此基础上，建立了4极30槽HSPMSM的maxwell & workbench & opti俚语联合仿真模型。其次，利用遗传算法得到Pareto解集，进行全局多目标优化;采用TOPSIS法从解集中选择高速永磁同步电机的优化设计方案。最后，对优化设计前后的高速电机性能进行了比较。仿真结果表明，遗传算法和TOPSIS方法不仅可以提高高速电机的多目标优化效率。并有效减弱电机转矩脉动和沟槽转矩。提高了高速电机的电磁性能。

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2023 5th Asia Energy and Electrical Engineering Symposium (AEEES)

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