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Study of switching flux permanent magnet machines using interpolation based reluctance network model

Authors :
Nabih Debbah
H. Ennassiri
Mohammed Ali Benhamida
Georges Barakat
Yacine Amara
Source :
2016 International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM).
Publication Year :
2016
Publisher :
IEEE, 2016.

Abstract

The aim of this paper is to present an electromagnetic model dedicated to the predesign of Radial Switching Flux Permanent Magnet (RSFPM) machines. This model is based on two independent reluctance networks (RN) for the stator and rotor modeling coupled using interpolation functions in the sliding surface located in the air-gap. The validation of the developed model is followed by a parametric study of a 12 slots / 10 poles RSFPM generator in order to maximize the average electromagnetic torque and to reduce its ripples. This operation is established by finding the suitable rotor tooth opening and skewing angle. The used modeling approach takes into consideration the 3D skewing effect. The main results are compared to those obtained by finite elements (FE) simulation with commercial software.

Details

Database :
OpenAIRE
Journal :
2016 International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM)
Accession number :
edsair.doi...........c259cf62fd0a95ee91814e7ca65346f3
Full Text :
https://doi.org/10.1109/cistem.2016.8066809