确定轴向磁场永磁电机最重要电学参数的高效计算方法

IF 1.2 4区工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY

Bulletin of the Polish Academy of Sciences-Technical Sciences Pub Date : 2023-11-06 DOI:10.24425/bpas.2018.125943

A. Smoleń, M. Gołębiowski

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引用次数: 4

摘要

公牛。波尔。通信技术，66(6)2018本文介绍了一种确定轴向磁场永磁电机(AFPM)电气参数的有效数值方法。该方法旨在准确确定反电动势波形和自感系数，同时保持尽可能低的计算复杂度，这对于将该方法纳入AFPM结构的数值优化过程至关重要。该算法基于二维有限元法，并进行了若干简化。所得结果与Ansys/Maxwell软件进行的全三维有限元分析进行了比较，并通过测量得到了验证。结果表明，该方法具有较好的精度和计算时间性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Computationally efficient method for determining the most important electrical parameters of axial field permanent magnet machine

Bull. Pol. Ac.: Tech. 66(6) 2018 Abstract. This paper describes a numerically efficient method for determining the electrical parameters of axial field permanent magnet machine (AFPM). The presented method aims to accurately determine the back EMF waveform and self-inductance coefficients, while maintaining possibly low computational complexity, which is crucial in case of incorporation of the method in numerical optimization procedure of AFPM construction. The described algorithm is based on 2D FEM with several simplifications. The obtained results have been compared with full 3D FEA conducted with Ansys/Maxwell software, and confirmed by measurements. The result shows that presented method ensures satisfactory accuracy as well as computational time performance.

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来源期刊

Bulletin of the Polish Academy of Sciences-Technical Sciences 工程技术-工程：综合

CiteScore

2.80

自引率

16.70%

发文量

审稿时长

6-12 weeks

期刊介绍： The Bulletin of the Polish Academy of Sciences: Technical Sciences is published bimonthly by the Division IV Engineering Sciences of the Polish Academy of Sciences, since the beginning of the existence of the PAS in 1952. The journal is peer‐reviewed and is published both in printed and electronic form. It is established for the publication of original high quality papers from multidisciplinary Engineering sciences with the following topics preferred: Artificial and Computational Intelligence, Biomedical Engineering and Biotechnology, Civil Engineering, Control, Informatics and Robotics, Electronics, Telecommunication and Optoelectronics, Mechanical and Aeronautical Engineering, Thermodynamics, Material Science and Nanotechnology, Power Systems and Power Electronics.