{"title":"用实验设计方法优化无刷直流电动机磁极","authors":"Y. Kwon, J. Kim, Hyun Guk Yi, G. Park","doi":"10.1109/CEFC-06.2006.1633260","DOIUrl":null,"url":null,"abstract":"The finite element method (FEM) is typically used in the process of motor design. However, the FEM requires much computation time. Therefore, decreasing the number of FEM simulations may also decrease the simulation cost. Several optimal design methods overcoming this problem have been recently studied. This paper investigates the optimal design of the magnet pole of a brushless DC motor through reducing simulation cost. The optimization minimizes the magnet volume and limits the average and cogging torques to certain values. In this paper, the response surface methodology and Taguchi's table for decreasing the number of FEM simulations are used to approximate two constraints. The optimization result shows that the presented strategy is satisfactorily performed","PeriodicalId":262549,"journal":{"name":"2006 12th Biennial IEEE Conference on Electromagnetic Field Computation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Optimization of Magnet Pole of Brushless DC Motor by Experimental Design Method\",\"authors\":\"Y. Kwon, J. Kim, Hyun Guk Yi, G. Park\",\"doi\":\"10.1109/CEFC-06.2006.1633260\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The finite element method (FEM) is typically used in the process of motor design. However, the FEM requires much computation time. Therefore, decreasing the number of FEM simulations may also decrease the simulation cost. Several optimal design methods overcoming this problem have been recently studied. This paper investigates the optimal design of the magnet pole of a brushless DC motor through reducing simulation cost. The optimization minimizes the magnet volume and limits the average and cogging torques to certain values. In this paper, the response surface methodology and Taguchi's table for decreasing the number of FEM simulations are used to approximate two constraints. The optimization result shows that the presented strategy is satisfactorily performed\",\"PeriodicalId\":262549,\"journal\":{\"name\":\"2006 12th Biennial IEEE Conference on Electromagnetic Field Computation\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-06-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 12th Biennial IEEE Conference on Electromagnetic Field Computation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CEFC-06.2006.1633260\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 12th Biennial IEEE Conference on Electromagnetic Field Computation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEFC-06.2006.1633260","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimization of Magnet Pole of Brushless DC Motor by Experimental Design Method
The finite element method (FEM) is typically used in the process of motor design. However, the FEM requires much computation time. Therefore, decreasing the number of FEM simulations may also decrease the simulation cost. Several optimal design methods overcoming this problem have been recently studied. This paper investigates the optimal design of the magnet pole of a brushless DC motor through reducing simulation cost. The optimization minimizes the magnet volume and limits the average and cogging torques to certain values. In this paper, the response surface methodology and Taguchi's table for decreasing the number of FEM simulations are used to approximate two constraints. The optimization result shows that the presented strategy is satisfactorily performed