Analytical Modeling of Misalignment in Axial Flux Permanent Magnet Machine

Baocheng Guo*, Yunkai Huang, Fei Peng, Jianning Dong, Yongjian Li

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

28 Citations (Scopus)
172 Downloads (Pure)


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.

Original languageEnglish
Article number8751144
Pages (from-to)4433-4443
Number of pages11
JournalIEEE Transactions on Industrial Electronics
Issue number6
Publication statusPublished - 1 Jun 2020

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.


  • Axial flux permanent magnet (AFPM) machine
  • current sheet model
  • magnetic field
  • misalignment


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