Analysis of Permanent Magnet-assisted Synchronous Reluctance Motor Based on Equivalent Reluctance Network Model
In this paper, the equivalent reluctance network model (ERNM) is used to calculate the magnetic circuit of a permanent magnet-assisted synchronous reluctance motor (PMASynRM) and calculate no-load air-gap magnetic field and electromagnetic torque. Iteration method is used to solve the relative perme...
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Format: | Article |
Language: | English |
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China Electrotechnical Society
2022-06-01
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Series: | CES Transactions on Electrical Machines and Systems |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9814983 |
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author | Changbin Li Xiuhe Wang Feng Liu Jie Ren Zezhi Xing Xinwei Gu |
author_facet | Changbin Li Xiuhe Wang Feng Liu Jie Ren Zezhi Xing Xinwei Gu |
author_sort | Changbin Li |
collection | DOAJ |
description | In this paper, the equivalent reluctance network model (ERNM) is used to calculate the magnetic circuit of a permanent magnet-assisted synchronous reluctance motor (PMASynRM) and calculate no-load air-gap magnetic field and electromagnetic torque. Iteration method is used to solve the relative permeability of iron core. A novel reluctance network model based on actual distribution of the magnetic flux inside the motor is established. The magnetomotive force (MMF) generated by armature winding affects the relative permeability of iron core, which is considered in the calculation of ERNM to improve the accuracy when the motor is under load. ERNM can be used to measure air-gap flux density, no-load back electromotive force (EMF), the average value of motor torque, the armature winding voltage under load, and power factor. The method of calculating the motor performance is proposed. The results of calculation are consistent with finite element method (FEM) and the computational complexity is much less than that of the FEM. The results of ERNM has been verified, which will provide a simple method for motor design and analysis. |
first_indexed | 2024-03-12T17:52:46Z |
format | Article |
id | doaj.art-9d1826bbff614453bd1897b38e6374bd |
institution | Directory Open Access Journal |
issn | 2096-3564 2837-0325 |
language | English |
last_indexed | 2024-03-12T17:52:46Z |
publishDate | 2022-06-01 |
publisher | China Electrotechnical Society |
record_format | Article |
series | CES Transactions on Electrical Machines and Systems |
spelling | doaj.art-9d1826bbff614453bd1897b38e6374bd2023-08-03T03:33:21ZengChina Electrotechnical SocietyCES Transactions on Electrical Machines and Systems2096-35642837-03252022-06-016213514410.30941/CESTEMS.2022.00019Analysis of Permanent Magnet-assisted Synchronous Reluctance Motor Based on Equivalent Reluctance Network ModelChangbin Li0Xiuhe Wang1Feng Liu2 Jie Ren3Zezhi Xing4Xinwei Gu5School of Electrical Engineering, Shandong University, Jinan, ChinaSchool of Electrical Engineering, Shandong University, Jinan, ChinaSchool of Electrical Engineering, Shandong University, Jinan, ChinaSchool of Electrical Engineering, Shandong University, Jinan, ChinaSchool of Electrical Engineering, Shandong University, Jinan, ChinaSchool of Electrical Engineering, Shandong University, Jinan, ChinaIn this paper, the equivalent reluctance network model (ERNM) is used to calculate the magnetic circuit of a permanent magnet-assisted synchronous reluctance motor (PMASynRM) and calculate no-load air-gap magnetic field and electromagnetic torque. Iteration method is used to solve the relative permeability of iron core. A novel reluctance network model based on actual distribution of the magnetic flux inside the motor is established. The magnetomotive force (MMF) generated by armature winding affects the relative permeability of iron core, which is considered in the calculation of ERNM to improve the accuracy when the motor is under load. ERNM can be used to measure air-gap flux density, no-load back electromotive force (EMF), the average value of motor torque, the armature winding voltage under load, and power factor. The method of calculating the motor performance is proposed. The results of calculation are consistent with finite element method (FEM) and the computational complexity is much less than that of the FEM. The results of ERNM has been verified, which will provide a simple method for motor design and analysis.https://ieeexplore.ieee.org/document/9814983permanent magnet-assisted synchronous reluctance motor (pmasynrm)equivalent reluctance network model (ernm)air-gap flux densityno-load back electromotive force (emf)torque |
spellingShingle | Changbin Li Xiuhe Wang Feng Liu Jie Ren Zezhi Xing Xinwei Gu Analysis of Permanent Magnet-assisted Synchronous Reluctance Motor Based on Equivalent Reluctance Network Model CES Transactions on Electrical Machines and Systems permanent magnet-assisted synchronous reluctance motor (pmasynrm) equivalent reluctance network model (ernm) air-gap flux density no-load back electromotive force (emf) torque |
title | Analysis of Permanent Magnet-assisted Synchronous Reluctance Motor Based on Equivalent Reluctance Network Model |
title_full | Analysis of Permanent Magnet-assisted Synchronous Reluctance Motor Based on Equivalent Reluctance Network Model |
title_fullStr | Analysis of Permanent Magnet-assisted Synchronous Reluctance Motor Based on Equivalent Reluctance Network Model |
title_full_unstemmed | Analysis of Permanent Magnet-assisted Synchronous Reluctance Motor Based on Equivalent Reluctance Network Model |
title_short | Analysis of Permanent Magnet-assisted Synchronous Reluctance Motor Based on Equivalent Reluctance Network Model |
title_sort | analysis of permanent magnet assisted synchronous reluctance motor based on equivalent reluctance network model |
topic | permanent magnet-assisted synchronous reluctance motor (pmasynrm) equivalent reluctance network model (ernm) air-gap flux density no-load back electromotive force (emf) torque |
url | https://ieeexplore.ieee.org/document/9814983 |
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