多目的遺伝的プログラミングを用いた電気機器の目的関数最適化とその結果の表示手法

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2019/07/01

タイトル(英語): Objective Function Optimization for Electrical Machine by using Multi-Objective Genetic Programming and Display Method of Its Results

著者名: 北川　亘（名古屋工業大学），稲葉　敦志（名古屋工業大学），竹下　隆晴（名古屋工業大学）

著者名(英語): Wataru Kitagawa (Nagoya Institute of Technology), Atsushi Inaba (Nagoya Institute of Technology), Takaharu Takeshita (Nagoya Institute of Technology)

キーワード: 有限要素法，電磁界数値解析，永久磁石モータ，遺伝的プログラミング，多目的構造最適化，次元圧縮　　finite element method，electromagnetic numerical field analysis，permanent magnet motor，genetic programming，multi-objective structural optimization，dimension reduction

要約(英語): Generally, electrical machines are designed using CAE (computer aided engineering) software. In addition, it is combined the design with optimization method for improving various objective functions such as magnetic path, structure and loss. However, there are various problems when multi-objective optimization is applied: modeling of design parameters is complicated, vast amounts of time are necessary, and the result is highly complex display owing to multi-objective. Therefore, it is difficult to select valid value from the complex result. In this paper, the authors have described the method that applies multi-objective function optimization for electrical machine by multi-objective genetic programming (MOGP). Moreover, its superiority and usability have been considered. Likewise, they have described the method that displays the result using dimension reduction.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.139 No.7 （2019） 特集：平成30年電子・情報・システム部門大会

本誌掲載ページ: 796-801 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/139/7/139_796/_article/-char/ja/