Nonlinear Analytical Model of Linear Switched Reluctance Motor With Segmented Secondary Considering Iron Saturation and End Effect

Linear switched reluctance motor with segmented secondary (LSRMSS) is a new type of linear switched reluctance motor (LSRM) and has become an alternative for direct linear driving systems due to its high power and thrust density compared to the conventional LSRM. Performance estimation of LSRMSS is...

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Main Authors: Zhipeng Li, Daohan Wang, Can Huang, Shuang Xu, Xiuhe Wang
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10325489/
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author Zhipeng Li
Daohan Wang
Can Huang
Shuang Xu
Xiuhe Wang
author_facet Zhipeng Li
Daohan Wang
Can Huang
Shuang Xu
Xiuhe Wang
author_sort Zhipeng Li
collection DOAJ
description Linear switched reluctance motor with segmented secondary (LSRMSS) is a new type of linear switched reluctance motor (LSRM) and has become an alternative for direct linear driving systems due to its high power and thrust density compared to the conventional LSRM. Performance estimation of LSRMSS is a tough task because of its critical local saturation effect on iron. To precisely estimate and investigate the dynamic performance of LSRMSS, a highly efficient and accurate nonlinear inductance function (NIF) considering iron saturation effects is developed in this paper. The inductance model of LSRMSS is derived based on an established magnetic equivalent circuit (MEC), facilitating machine performance estimation. The accuracy of the model is verified by comparing the results with finite element simulations (FEA). The end effect and mutual inductance effect are considered to improve the accuracy of the proposed NIF model, and key dimensions affecting machine performance are considered. Finally, the prototype of LSRMSS is manufactured, and the experimental testing platform is built. The measured results are in good agreement with the simulation results, validating the feasibility of the proposed nonlinear model.
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spelling doaj.art-545d5ae133b14979b69f31190e34f1b82024-02-08T00:01:29ZengIEEEIEEE Access2169-35362023-01-011113207813208710.1109/ACCESS.2023.333581110325489Nonlinear Analytical Model of Linear Switched Reluctance Motor With Segmented Secondary Considering Iron Saturation and End EffectZhipeng Li0https://orcid.org/0009-0009-2917-3646Daohan Wang1https://orcid.org/0000-0002-6091-6569Can Huang2Shuang Xu3Xiuhe Wang4School of Electrical Engineering, Shandong University, Jinan, ChinaSchool of Electrical Engineering, Shandong University, Jinan, ChinaShandong Electric Power Engineering Consulting Institute Company Ltd., Jinan, ChinaSchool of Electrical Engineering, Shandong University, Jinan, ChinaSchool of Electrical Engineering, Shandong University, Jinan, ChinaLinear switched reluctance motor with segmented secondary (LSRMSS) is a new type of linear switched reluctance motor (LSRM) and has become an alternative for direct linear driving systems due to its high power and thrust density compared to the conventional LSRM. Performance estimation of LSRMSS is a tough task because of its critical local saturation effect on iron. To precisely estimate and investigate the dynamic performance of LSRMSS, a highly efficient and accurate nonlinear inductance function (NIF) considering iron saturation effects is developed in this paper. The inductance model of LSRMSS is derived based on an established magnetic equivalent circuit (MEC), facilitating machine performance estimation. The accuracy of the model is verified by comparing the results with finite element simulations (FEA). The end effect and mutual inductance effect are considered to improve the accuracy of the proposed NIF model, and key dimensions affecting machine performance are considered. Finally, the prototype of LSRMSS is manufactured, and the experimental testing platform is built. The measured results are in good agreement with the simulation results, validating the feasibility of the proposed nonlinear model.https://ieeexplore.ieee.org/document/10325489/Linear switched reluctance motor with segmented secondary (LSRMSS)nonlinear inductance functionthe saturation effectmutual inductanceend effects
spellingShingle Zhipeng Li
Daohan Wang
Can Huang
Shuang Xu
Xiuhe Wang
Nonlinear Analytical Model of Linear Switched Reluctance Motor With Segmented Secondary Considering Iron Saturation and End Effect
IEEE Access
Linear switched reluctance motor with segmented secondary (LSRMSS)
nonlinear inductance function
the saturation effect
mutual inductance
end effects
title Nonlinear Analytical Model of Linear Switched Reluctance Motor With Segmented Secondary Considering Iron Saturation and End Effect
title_full Nonlinear Analytical Model of Linear Switched Reluctance Motor With Segmented Secondary Considering Iron Saturation and End Effect
title_fullStr Nonlinear Analytical Model of Linear Switched Reluctance Motor With Segmented Secondary Considering Iron Saturation and End Effect
title_full_unstemmed Nonlinear Analytical Model of Linear Switched Reluctance Motor With Segmented Secondary Considering Iron Saturation and End Effect
title_short Nonlinear Analytical Model of Linear Switched Reluctance Motor With Segmented Secondary Considering Iron Saturation and End Effect
title_sort nonlinear analytical model of linear switched reluctance motor with segmented secondary considering iron saturation and end effect
topic Linear switched reluctance motor with segmented secondary (LSRMSS)
nonlinear inductance function
the saturation effect
mutual inductance
end effects
url https://ieeexplore.ieee.org/document/10325489/
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AT daohanwang nonlinearanalyticalmodeloflinearswitchedreluctancemotorwithsegmentedsecondaryconsideringironsaturationandendeffect
AT canhuang nonlinearanalyticalmodeloflinearswitchedreluctancemotorwithsegmentedsecondaryconsideringironsaturationandendeffect
AT shuangxu nonlinearanalyticalmodeloflinearswitchedreluctancemotorwithsegmentedsecondaryconsideringironsaturationandendeffect
AT xiuhewang nonlinearanalyticalmodeloflinearswitchedreluctancemotorwithsegmentedsecondaryconsideringironsaturationandendeffect