Volume 17, Issue 3 (September 2021)                   IJEEE 2021, 17(3): 1965-1965 | Back to browse issues page

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Rezaee-Alam F, Rezaeealam B, Moosavi S M M. An Improved Magnetic Equivalent Circuit Model for Electromagnetic Modeling of Electric Machines. IJEEE 2021; 17 (3) :1965-1965
URL: http://ijeee.iust.ac.ir/article-1-1965-en.html
An Improved Magnetic Equivalent Circuit Model for Electromagnetic Modeling of Electric Machines
F. Rezaee-Alam , B. Rezaeealam , S. M. M. Moosavi
Abstract:   (2364 Views)
Poor modeling of air-gap is the main defect of conventional magnetic equivalent circuit (CMEC) model for performance analysis of electric machines. This paper presents an improved magnetic equivalent circuit (IMEC) which considers all components of air-gap permeance such as the mutual permeances between stator and rotor teeth, and the leakage permeances between adjacent stator teeth and adjacent rotor teeth in the air-gap. Since the conformal mapping (CM) method can accurately take into account the air-gap region, IMEC gets help from the CM method for calculating the air-gap permeance components. Therefore, the obtained model is a hybrid analytical model, which can accurately take into account the magnetic saturation in iron parts by using the CMEC, and the real paths of fringing flux, leakage flux, and the main flux in the air-gap by using the CM method. For a typical wound rotor induction motor, the accuracy of the results obtained by IMEC is verified by comparing them with the corresponding results determined through CMEC, improved conformal mapping (ICM), finite element method (FEM), and the experiment results.
Keywords: Improved Magnetic Equivalent Circuit (IMEC) , Conformal Mapping (CM) , Conventional Magnetic Equivalent Circuit (CMEC) , Magnetic Saturation , Permeance
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  • IMEC considers all components of air-gap permeance.
  • IMEC gets help from CMs for calculating air-gap permeance components.
  • CM method can accurately take into account the air-gap region.

Type of Study: Research Paper | Subject: Induction Machines
Received: 2020/08/22 | Revised: 2020/12/09 | Accepted: 2020/12/09
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© 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.