A subdomain model for armature reaction field and open‐circuit field prediction in consequent pole permanent magnet machines

Ahmed Abbas; Atif Iqbal

doi:10.1002/jnm.3023

A subdomain model for armature reaction field and open‐circuit field prediction in consequent pole permanent magnet machines

Abstrakt

In this paper, the machine quantity, such as electromagnetic torque, self and mutual inductances, and electromotive force, is analytically calculated for non-overlapping winding consequent pole slotted machine for open-circuit field and armature reaction. The sub-domain approach of (2-D) analytical model is developed using Maxwell's equations and divide the problem into slots, slot-openings, airgap and magnets region, the magnet flux-density is calculated and analyzed for both permanent magnet (PM) and armature current reaction (AR) with radial magnetization pattern. The magnetization surface currents (MSCs) are considered at the borders of iron-pole magnets and the value of MSCs is accurately computed. The result obtained using proposed model compared with that of FEM, (2-D) analytical model required less computation time and achieve higher accuracy of AR and PM.

Cytowania

2

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Autorzy (2)

Ahmed Abbas
Atif Iqbal Dr hab. inż.

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Wersja publikacji: Accepted albo Published Version
DOI:: Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1002/jnm.3023
Licencja: Copyright (2022 John Wiley & Sons Ltd.)

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Słowa kluczowe

MAXWELL’S EQUATIONS, PERMANENT MAGNET, TORQUE IMPROVEMENT, PM MACHINE

Informacje szczegółowe

Kategoria:

Publikacja w czasopiśmie

Typ:

artykuły w czasopismach

Opublikowano w:

INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS nr 35,
ISSN: 0894-3370

Język:

angielski

Rok wydania:

2022

Opis bibliograficzny:

Abbas A., Iqbal A.: A subdomain model for armature reaction field and open‐circuit field prediction in consequent pole permanent magnet machines// INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS -,iss. 6 (2022),

DOI: