Issue |
Eur. Phys. J. Appl. Phys.
Volume 50, Number 3, June 2010
|
|
---|---|---|
Article Number | 31102 | |
Number of page(s) | 15 | |
Section | Physics of Energy Generation Transfer, Conversion and Storage | |
DOI | https://doi.org/10.1051/epjap/2010058 | |
Published online | 17 May 2010 |
https://doi.org/10.1051/epjap/2010058
General modeling of the windings for multi-phase ac machines
Application for the analytical estimation of the mutual stator inductances for smooth air gap machines
1
Institut de Recherche de l'École Navale, 29240 Brest-Armées, France
2
Arts et Métiers ParisTech, 59000 Lille, France
3
Université Lille Nord de France, 59000 Lille, France
Corresponding author: franck_scuiller@yahoo.fr
Received:
23
November
2009
Accepted:
23
March
2010
Published online:
17
May
2010
This paper, which deals with the winding modeling of ac multi-phase machines with a regular distribution of the stator slots, details an original matrix modeling of the stator winding. First, the properties of the balanced multi-phase windings (with integral-slot and fractional-slot patterns) are analysed. The winding function approach, one of the most common way to model the winding distribution effects on the stator rotating field, is then introduced. For multi-phase machines, it will be shown that the pole number generated by the winding distribution depends on a new parameter: the circularity index. The discrete nature of the winding, imposed by the stator slots, leads to the development of a discrete modeling of the winding obtained from sampling the winding function: two matrices, the winding function matrix and the distribution function matrix, are introduced to characterize the multi-phase winding. This matrix approach is thus a concise way to calculate the winding factors and to estimate the set of self and mutual stator inductances for smooth air gap multi-phase machines. A particularly original method of obtaining an analytical expression for the leakage mutual inductance is described. The results are validated with two experimental 5-phase PM machines by using experimental measurements and numerical simulations.
© EDP Sciences, 2010
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