Particle Swarm Optimization of Electromagnetic Vibration of PMSM Using Surrogate Model

Yunchong Wang, Lei Yao,Dan Shi, Xiaoyan Huang,Jian-Xin Shen

ELECTRIC POWER COMPONENTS AND SYSTEMS(2023)

引用 0|浏览0
暂无评分
摘要
Intelligent algorithms and surrogate models are commonly used in electromagnetic design of electrical machines. But they are rarely employed for other single-physics or multi-physics designs, such as that for electromagnetic vibration suppression. On the other hand, it is uncommon in existing literatures to compare the performances of different surrogate models for optimization. In this paper, the accuracies of three surrogate models are compared for different optimization objectives, and a 15-input 7-output problem involving electromagnetic vibration is solved through particle swarm optimization. After optimization, the motor electromagnetic vibrations at all dominant frequencies are significantly reduced and the torque performance is improved. The optimization result is verified with both finite element simulation and experimental measurement.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络