Analytical Modeling of Misalignment in Axial Flux Permanent Magnet Machine
Baocheng Guo (Southeast University)
Yunkai Huang (Southeast University)
Fei Peng (Southeast University)
J. Dong (TU Delft - DC systems, Energy conversion & Storage)
Yongjian Li (Hebei University of Technology)
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Abstract
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.