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PIER PIER B PIER C PIER M PIER Letters PIER Photonics
2017-07-27
Semi-Analytical Modeling of Spoke-Type Permanent-Magnet Machines Considering the Iron Core Relative Permeability: Subdomain Technique and Taylor Polynomial
By
Lazhar Roubache,

    Dr. Lazhar Roubache

    Electrotechnique

    Ecole Nationale Polytechnique (ENP)

    Algeria

    Homepage

Kamel Boughrara,

    Dr. Kamel Boughrara

    Ecole Nationale Polytechnique (LRE-ENP)

    Algeria

    Homepage

Frederic Dubas,

    Dr. Frederic Dubas

    ENISYS

    University of Franche-Comté

    France

    Homepage

Rachid Ibtiouen

    Dr. Rachid Ibtiouen

    Laboratoire de Recherche en Electrotechnique

    Algeria

    Homepage

Progress In Electromagnetics Research B, Vol. 77, 85-101, 2017
doi:10.2528/PIERB17051001 | Google Scholar

Abstract
This article presents a novel contribution to the improvement of the analytic modeling of electrical machines using two-dimensional (2-D) subdomain technique with Taylor polynomial. To validate this novel method, the semi-analytical model has been implemented for spoke-type permanent-magnet (PM) machines (STPMM). Magnetostatic Maxwell's equations are solved in polar coordinates, and in all parts of the machine. The global solution is obtained using the traditional boundary conditions (BCs), in addition to new radial BCs (e.g., between the PMs and the rotor teeth) which are traduced into a system of linear equations according to Taylor series expansion. The magnetic field calculations are performed for two different values of iron core relative permeability (viz., 10 and 1,000) and compared to finite-element method (FEM) predictions. The results show that a very good agreement is obtained.
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Citation
Lazhar Roubache, Kamel Boughrara, Frederic Dubas, and Rachid Ibtiouen, "Semi-Analytical Modeling of Spoke-Type Permanent-Magnet Machines Considering the Iron Core Relative Permeability: Subdomain Technique and Taylor Polynomial," Progress In Electromagnetics Research B, Vol. 77, 85-101, 2017.
doi:10.2528/PIERB17051001
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