{"title":"Equivalent Magnetic Network of a Transverse-Flux Permanent Magnet Linear Motor","authors":"D. Fu, F. Gillon, Y. Xu, N. Bracikowski, J. Gong","doi":"10.1109/ICELMACH.2018.8507074","DOIUrl":null,"url":null,"abstract":"This paper proposes a nonlinear equivalent magnetic network (EMN) model of a transverse-flux permanent magnet linear motor (TFPMLM) to obtain the performances quickly. The meshing method is employed to solve magnetic fields in air gap, magnet, and iron. The air gap flux density distribution is solved by EMN model, based on which, the EMF waveform, no-load cogging force waveform and load force waveform are obtained. Finally, the prototyped TLPMLM is manufactured and the modeling results are compared to the experiment and 3D FEM, respectively. An important computing time is won with an acceptable accuracy.","PeriodicalId":292261,"journal":{"name":"2018 XIII International Conference on Electrical Machines (ICEM)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 XIII International Conference on Electrical Machines (ICEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICELMACH.2018.8507074","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This paper proposes a nonlinear equivalent magnetic network (EMN) model of a transverse-flux permanent magnet linear motor (TFPMLM) to obtain the performances quickly. The meshing method is employed to solve magnetic fields in air gap, magnet, and iron. The air gap flux density distribution is solved by EMN model, based on which, the EMF waveform, no-load cogging force waveform and load force waveform are obtained. Finally, the prototyped TLPMLM is manufactured and the modeling results are compared to the experiment and 3D FEM, respectively. An important computing time is won with an acceptable accuracy.