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
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- ,
- ,
- 巻
- 1
- 号
- 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
- ID情報
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- DOI : 10.1109/ICEMS.2003.1273831
- Web of Science ID : WOS:000189482900042