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Design and Optimization of a Partitional Stator Flux Modulated Memory Machine
IEEE Transactions on Magnetics ( IF 2.1 ) Pub Date : 2020-04-01 , DOI: 10.1109/tmag.2019.2956055
Liangliang Wei , Taketsune Nakamura

In this article, a partitional stator flux-modulated memory machine (PS-FMMM) is proposed. Compared with a conventional variable-flux memory machine, it can significantly improve the torque density due to magnetic gear effect and PS, and can have good flux-regulating capability with AlNiCo magnets. First, the basic principle of the proposed PS-FMMM is introduced, and different combinations of stator poles and rotor poles are compared. Then, the torque-regulating characteristics of the proposed PS-FMMM under different magnetization levels of AlNiCo magnets are obtained. Finally, the pole-arc ratio of iron piece and parameters of AlNiCo magnets are optimized based on sensitivity analysis. Various finite-element analysis (FEA) simulation, optimization, and comparison studies of the proposed machine are performed. The results verified the effectiveness of the proposed structure.

中文翻译:

分区定子磁通调制记忆机的设计与优化

在本文中,提出了一种分区定子磁通调制记忆机 (PS-FMMM)。与传统的可变磁通记忆机相比,由于磁齿轮效应和PS,它可以显着提高扭矩密度,并且可以与AlNiCo磁铁一起具有良好的磁通调节能力。首先,介绍了所提出的 PS-FMMM 的基本原理,并比较了定子极和转子极的不同组合。然后,获得了所提出的 PS-FMMM 在不同 AlNiCo 磁体磁化水平下的扭矩调节特性。最后,在灵敏度分析的基础上,对铁片极弧比和铝镍钴磁铁参数进行了优化。对建议的机器进行了各种有限元分析 (FEA) 模拟、优化和比较研究。
更新日期:2020-04-01
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