TWO-DIMENSIONAL ANALYTICAL MAGNETIC FIELD CALCULATIONS FOR DOUBLY-SALIENT MACHINES
This paper investigates a 2-dimensional (2-D) analytical magnetic field prediction for doubly-salient machines. Using the subdomain technique, the effects of saliency on both the rotor and stator structures as well as their interactions are considered. The approach can be used for magnetic field cal...
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Published in | Iranian journal of science and technology. Transactions of electrical engineering Vol. 38; no. E1; p. 33 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Shiraz
Springer Nature B.V
01.06.2014
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Subjects | |
Online Access | Get full text |
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Summary: | This paper investigates a 2-dimensional (2-D) analytical magnetic field prediction for doubly-salient machines. Using the subdomain technique, the effects of saliency on both the rotor and stator structures as well as their interactions are considered. The approach can be used for magnetic field calculation in machines with any combination of rotor- and stator-pole number. Three different stator winding structures are considered: non-overlapping winding with all teeth wound, non-overlapping winding with alternate teeth wound and 2-layer overlapping winding. To enable the analytical solution of the governing partial differential equations, the stator and rotor iron is assumed to be infinitely permeable and therefore the saturation effects are neglected. The proposed approach is used in two case studies: (1) to calculate the armature reaction magnetic field distribution of a three-phase slotted brushless machine with surface inset magnets and (2) to compute the magnetic field distribution of a four-phase switched reluctance motor. Note that the proposed approach cannot be employed in the case of machines with considerable saturation effects. The analytical results are compared with those obtained from finite element analyses to validate the analytical calculations. |
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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
ISSN: | 2228-6179 |