Electromagnetic performance analysis of hybrid-excited flux-switching machines by a nonlinear magnetic network model

Hua, Wei; Zhang, Gan; Cheng, Ming; Dong, J.

Electromagnetic performance analysis of hybrid-excited flux-switching machines by a nonlinear magnetic network model

Journal article (2011)

Authors

Wei Hua Southeast University

Gan Zhang Southeast University

Ming Cheng Southeast University

J. Dong Southeast University

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Nonlinear Finite element analysis Brushless machine Flux-switching Hybrid excitation Magnetic network model

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Published Date

2011-10

Language

English

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Abstract

In this paper, a nonlinear magnetic network model (NMNM) is proposed to predict the electromagnetic performance of a hybrid-excitation flux-switching (HEFS) machine, in which the modeling of the magnetic motive forces (MMF) due to field windings is specifically investigated. The proposed NMNM enables the predictions of air-gap flux-density distributions, flux linkage, back-electromotive force (back-EMF), and inductances of both armature and field windings under different excitation conditions, including pure magnets, pure field currents, and hybrid excitations. The predicted results from the NMNM model are validated by 2-D finite element analysis.