Analytical Modeling of Misalignment in Axial Flux Permanent Magnet Machine

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

Research output: Contribution to journalArticleScientificpeer-review

2 Citations (Scopus)
14 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


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

Fingerprint Dive into the research topics of 'Analytical Modeling of Misalignment in Axial Flux Permanent Magnet Machine'. Together they form a unique fingerprint.

Cite this