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Robust-Oriented Optimization Design for Permanent Magnet Motors Considering Parameter Fluctuation
IEEE Transactions on Energy Conversion ( IF 5.0 ) Pub Date : 2020-12-01 , DOI: 10.1109/tec.2020.3006515
Xiaoyong Zhu , Jin Yang , Zixuan Xiang , Min Jiang , Shiyue Zheng , Li Quan

In this article, a robust-oriented optimization design method is proposed for the permanent magnet (PM) motors. The key of the method is to introduce the concept of parameter fluctuation into motor design process, which aims at solving the uncertainties during motor manufacturing process. The optimization design process is purposely divided into two layers. In the Layer I, except for the motor performance objectives, the influence of parameters fluctuation on motor performances is also served as the design objectives to obtain the deterministic motor structure. In the Layer II, the allowable manufacture errors caused by the parameter fluctuation and the manufacturing qualification rate of the motor with the errors are calculated and optimized simultaneously. Then, an interior PM (IPM) motor is chosen as a design example during robust optimization process. For verifying the effectiveness of the optimization design, the performances are evaluated in detail and the prototype motor is built. Finally, both theoretical analysis and experimental results validate the effectiveness of design method and the rationality of PM motor.

中文翻译:

考虑参数波动的永磁电机鲁棒优化设计

在本文中,针对永磁 (PM) 电机提出了一种面向鲁棒的优化设计方法。该方法的关键是将参数波动的概念引入电机设计过程中,旨在解决电机制造过程中的不确定性。优化设计过程特意分为两层。在第一层,除了电机性能目标外,参数波动对电机性能的影响也作为设计目标,以获得确定性的电机结构。在第二层中,参数波动引起的允许制造误差和有误差的电机的制造合格率同时计算和优化。然后,在稳健优化过程中,选择内部 PM (IPM) 电机作为设计示例。为了验证优化设计的有效性,详细评估了性能并构建了原型电机。最后,理论分析和实验结果均验证了设计方法的有效性和永磁电机的合理性。
更新日期:2020-12-01
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