Optimization Design of a Dual-Rotor Axial-Flux Permanent Magnet Vernier Machine based on Genetic Algorithm
2019 22ND INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS (ICEMS 2019)(2019)
摘要
This paper proposes an optimal design to improve the torque and power factor of a dual-rotor axial-flux aligned permanent magnet vernier machine (DR-AFAPMVM) according to the results of two dimensional finite element analysis (2D-FEA). The stator tooth-slot structure in a vernier machine has the flux modulation effect and determines the main flux path, therefore, the optimal design of stator is an effective choice to achieve larger torque and power factor. Genetic algorithm (GA) is utilized as the basic optimization algorithm to obtain the final optimal result, which is further verified by FEA.
更多查看译文
关键词
axial-flux machine, genetic algorithm, power factor, stator tooth optimization, torque density
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要