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Analytical Modeling of Misalignment in Axial Flux Permanent Magnet Machine

机译：轴向磁通永磁机中未对准的分析模型

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摘要

This paper proposes an analytical model for the prediction of air gap magnetic field distribution for axial flux permanent magnet (AFPM) machine with various types of misalignments. The AFPM machine geometry is first transformed to a polar representation. Consequently, the subdomain model based on current sheet technique is developed. Then the stator coordinate system is chosen as reference coordinate to consider both static/dynamic angular and axis misalignments. The back electromagnetic forces and cogging torque are obtained accordingly based on Maxwell's equations. The results show that the proposed approach agrees with the finite-element method. The model is further validated by experiments under healthy, dynamic angular and axis misalignment conditions, which can validate the proposed approach. It turns out that the proposed approach can predict the performance of AFPM machines with types of misalignment quickly and effectively, which is greatly significant for further fault detection.
机译：本文提出了一种用于预测轴向磁通永磁体（AFPM）机器的空气隙磁场分布的分析模型，具有各种错位。首先将AFPM机几何形状转换为极性表示。因此，开发了基于当前纸张技术的子域模型。然后选择定子坐标系作为参考坐标，以考虑静态/动态角度和轴未对准。基于Maxwell等式，相应地获得后电磁力和齿槽扭矩。结果表明，该方法同意有限元方法。该模型通过在健康，动态角度和轴未对准条件下进行的实验进一步验证，这可以验证所提出的方法。事实证明，该方法可以快速有效地预测AFPM机器具有错误类型的性能，这对于进一步的故障检测有很大意义。

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