Title :
Electromagnetic Performance Analysis of Hybrid-Excited Flux-Switching Machines by a Nonlinear Magnetic Network Model
Author :
Wei Hua ; Gan Zhang ; Ming Cheng ; Jianning Dong
Author_Institution :
Sch. of Electr. Eng., Southeast Univ., Nanjing, China
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.
Keywords :
brushless machines; electric potential; machine windings; magnetic forces; permanent magnet machines; 2D finite element analysis; air-gap flux-density distributions; armature inductance; back-electromotive force; electromagnetic performance analysis; excitation conditions; field winding inductances; flux linkage; hybrid-excitation flux-switching machine; hybrid-excited flux-switching machines; magnetic motive forces modeling; nonlinear magnetic network model; pure field currents; pure magnets; Air gaps; Analytical models; Couplings; Iron; Magnetic flux; Predictive models; Windings; Brushless machine; finite element analysis; flux-switching; hybrid excitation; magnetic network model; nonlinear;
Journal_Title :
Magnetics, IEEE Transactions on
DOI :
10.1109/TMAG.2011.2154377
