論文

2003年

An approach for genetic algorithm aided design of superconducting generator

ICEMS 2003: PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS, VOLS 1 AND 2
  • SI Han
  • ,
  • Muta, I
  • ,
  • T Hoshino
  • ,
  • T Nakamura

1
開始ページ
141
終了ページ
145
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.2003.1273831
出版者・発行元
INTERNATIONAL ACADEMIC PUBLISHERS LTD

An optimal design approach of superconducting generator of 70MW class capacity based on genetic algorithm for the purpose of optimization of efficiency and specific power density is described. As the efficiency and the specific power density are handled as the objectives, multiobjective technique is also introduced to find the trade-off or compromise solution between two objectives. The multiobjective technique is performed by modified min-max approach. The design results of multiobjective optimization have the compromise solution inclined to those of volume optimization because its design variables are inclined to those of volume optimization. Moreover, the design method used in this paper shows to be effective and suitable, compared with those of 70MW class superconducting generator already developed by National Project in Japan.


リンク情報
DOI
https://doi.org/10.1109/ICEMS.2003.1273831
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000189482900042&DestApp=WOS_CPL
ID情報
  • DOI : 10.1109/ICEMS.2003.1273831
  • Web of Science ID : WOS:000189482900042

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