論文

2001年

GA design for efficiency optimization of a superconducting generator

ICEMS'2001: PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS, VOLS I AND II
  • SI Han
  • ,
  • Muta, I
  • ,
  • T Hoshino
  • ,
  • T Nakamura

1
開始ページ
152
終了ページ
155
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1109/ICEMS.2001.970631
出版者・発行元
INTERNATIONAL ACADEMIC PUBLISHERS LTD

This paper deals with a design method for the efficiency optimization of 223MVA class superconductiong generator. In consideration of the electrical characteristics based on electromagnetic analysis, GA(Genetic Algorithm), which has been successfully applied to various design problems in electric machines and devices, is used as an approach method of the optimized design with some variables and constraints. The results designed by this method are found out to be reasonable and effective as compared with those obtained by the methods of trial and error until now.


リンク情報
DOI
https://doi.org/10.1109/ICEMS.2001.970631
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000178454300033&DestApp=WOS_CPL
ID情報
  • DOI : 10.1109/ICEMS.2001.970631
  • Web of Science ID : WOS:000178454300033

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