Volume 21, Issue 2 (JIAEEE Vol.21 No.2 2024)
Journal of Iranian Association of Electrical and Electronics Engineers 2024, 21(2): 87-95 |
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mortezaeei R, Hosseini Aliabadi M, Javadi S. Analytical Modeling of Magnetic Field Density Distribution in Different Regions of A Permanent Magnet Synchronous Motor through Subdomain Field Modeling Method. Journal of Iranian Association of Electrical and Electronics Engineers 2024; 21 (2) :87-95
URL: http://jiaeee.com/article-1-1618-en.html
URL: http://jiaeee.com/article-1-1618-en.html
Department of Electrical Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran.
Abstract: (1143 Views)
In this article, an analytical method based on the subdomains method for modeling the magnetic field distribution in a permanent magnet synchronous motor based on the calculation of the scalar potential vector is presented. In this modeling, which is based on the sub-domain method, the motor magnetic field domain under study is divided into six sub-domains including the rotor shaft, rotor core, permanent magnets, air gap, stator core, and outer region. Maxwell's equations are solved within these subdomains with specific boundary conditions. The solution method is based on calculating the scalar potential vector and estimating the magnetic field density distribution in each subdomain, which is formulated by the Laplacian/pseudo-Poisson differential equations of the magnetic field in the polar coordinate system using the technique of separation of variables, Taylor series and Fourier series expansion. The proposed model can be used to estimate the distribution of magnetic fields in the areas of the machine to identify and diagnose mechanical and electrical errors or to estimate the speed and position in permanent magnet synchronous machines from the outside environment of the motor and also in the optimal design of electric machines.
Keywords: Permanent magnet synchronous machine, sub-domain field modeling, Laplace's equations, Poisson's equations.
Type of Article: Research |
Subject:
Power
Received: 2023/07/28 | Accepted: 2023/09/25 | Published: 2024/06/24
Received: 2023/07/28 | Accepted: 2023/09/25 | Published: 2024/06/24
Extended Abstract [PDF 251 KB] (13 Download)
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