Analysis and optimization of air-core permanent magnet linear synchronous motors with overlapping concentrated windings for ultra-precision applications
{"title":"Analysis and optimization of air-core permanent magnet linear synchronous motors with overlapping concentrated windings for ultra-precision applications","authors":"Liyi Li, Yongbin Tang, M. Ma, Donghua Pan","doi":"10.11142/JICEMS.2013.2.1.16","DOIUrl":null,"url":null,"abstract":"This paper presents the analysis and optimization of air-core permanent magnet linear synchronous motor with overlapping concentrated windings to achieve high thrust density, high thrust per copper losses and low thrust ripple. For the motor design, we adopt equivalent magnetizing current (EMC) method to analyse the magentic field and give analytical formulae for calculation of motor parameters such as no-load back EMF, dynamic force, thrust density and thrust per copper losses. Further, we proposed a multi-objective optimization by genetic algorithm to search for the optimum parameters. The design optimization is verified by 2-D Finite Element analysis (FEA).","PeriodicalId":6398,"journal":{"name":"2012 15th International Conference on Electrical Machines and Systems (ICEMS)","volume":"1 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 15th International Conference on Electrical Machines and Systems (ICEMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11142/JICEMS.2013.2.1.16","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
This paper presents the analysis and optimization of air-core permanent magnet linear synchronous motor with overlapping concentrated windings to achieve high thrust density, high thrust per copper losses and low thrust ripple. For the motor design, we adopt equivalent magnetizing current (EMC) method to analyse the magentic field and give analytical formulae for calculation of motor parameters such as no-load back EMF, dynamic force, thrust density and thrust per copper losses. Further, we proposed a multi-objective optimization by genetic algorithm to search for the optimum parameters. The design optimization is verified by 2-D Finite Element analysis (FEA).