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
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- ,
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- 巻
- 1
- 号
- 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
- ID情報
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- DOI : 10.1109/ICEMS.2001.970631
- Web of Science ID : WOS:000178454300033