{"title":"Optimal design of distributed winding axial flux permanent magnet synchronous generator for wind turbine systems","authors":"Y. You, K. Hwang, B. Kwon","doi":"10.1109/CEFC.2010.5481063","DOIUrl":null,"url":null,"abstract":"In order to reduce harmonic distortion, this paper presents a distributed winding type axial flux permanent magnet synchronous generator (AFPMSG), suitable for wind turbine generation systems. The characteristic analysis is performed with the aid of a 3D finite element method (FEM) and these analysis results are confirmed by the experimental results. To improve the output power and unbalance of the phase back EMF, the optimal design process by using Kriging combined with latin hypercube sampling (LHS) and genetic algorithm (GA) was utilized. As a result, the output power and unbalance of the phase back EMF of the distributed winding type AFPMSG were improved efficiently while maintaining the total harmonic distortion (THD) and the average of the phase back EMF.","PeriodicalId":148739,"journal":{"name":"Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Digests of the 2010 14th Biennial IEEE Conference on Electromagnetic Field Computation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEFC.2010.5481063","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
In order to reduce harmonic distortion, this paper presents a distributed winding type axial flux permanent magnet synchronous generator (AFPMSG), suitable for wind turbine generation systems. The characteristic analysis is performed with the aid of a 3D finite element method (FEM) and these analysis results are confirmed by the experimental results. To improve the output power and unbalance of the phase back EMF, the optimal design process by using Kriging combined with latin hypercube sampling (LHS) and genetic algorithm (GA) was utilized. As a result, the output power and unbalance of the phase back EMF of the distributed winding type AFPMSG were improved efficiently while maintaining the total harmonic distortion (THD) and the average of the phase back EMF.
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