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電磁界解析を用いた電気機器の最適設計に関する研究

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Please use this identifier to cite or link to this item:https://doi.org/10.14943/doctoral.k11766
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Title: 電磁界解析を用いた電気機器の最適設計に関する研究
Other Titles: A Study on Design Optimization of Electric Devices and Machines Based on Electromagnetic Field Analysis
Authors: 佐藤, 孝洋 Browse this author
Keywords: パラメータ最適化
トポロジー最適化
遺伝的アルゴリズム
振動発電harvester
Parameter Optimization
Topology Optimization
Genetic Algorithms
Vibration Energy harvester
Issue Date: 25-Mar-2015
Publisher: Hokkaido University
Abstract: Electromagnetic machines and devices, such as motors and inductors, are one of the important components in various electronics products. There is, thus, a great demand for high efficiency the electromagnetic machines and devices. For this reason, design optimization techniques have been attracted attention in order to maximize the performance under some constraints and specifications. Because the devices and machines are sometimes optimized by the try and errors based on the designer's experiences, numerical optimization method which is based on the finite element(FE) analysis are necessary. In this work, two optimization methods are proposed to advance the numerical optimization method of electromagnetic devices. First, parameter optimization based on the nonconforming voxel FEM is proposed, by which FE meshes for 3D shapes can be drastically generated with low computational cost. The inductor for boost circuit is optimized using the proposed method. Next, a new on/off-based topology optimization method is also proposed. Topology optimization,in which the topology of the shapes can be changes, can seek for the optimum shapes with high shape representation ability, and is thus effective to find innovative and initial conceptual designs. Although the conventional on/off-based method often finds complicated shapes which is not suitable for manufacture, a new method is proposed to overcome this problem. The proposed method is applied to the optimization of the synchronous motor. Moreover, as an application of the FE analysis, a new vibration energy harvester is designed. Vibration energy harvester, which transforms the vibration energy into electric energy through magnetic induction, has been receiving attentions as a power source of wireless sensor ICs. In this work, based on the FE analysis, a harvester with both higher output and wider operational bandwidth is designed.
同期電動機やパワーインダクタ等の,電磁現象を利用した電気機器は,多様な電気製品の重要な構成要素であり,高効率設計が強く望まれている.そのため与えられた制約・仕様の下で電気機器の性能を限界まで引き出す最適設計が重要である.しかし,電気機器の最適設計は電磁現象に精通した技術者が経験則に基づき試行錯誤的に行われている側面が強い.そこで電気機器の最適設計を補助ないし自動化するため,電磁界の有限要素解析と最適化技術を組み合わせた電気機器の最適化手法が近年注目されている.本研究では,電気機器の最適設計を高度化する新たな2つの手法を提案する.1つは非適合ボクセル有限要素による3次元形状のパラメータ最適化である.非適合ボクセル要素を用いることで,有限要素解析に用いる3次元メッシュを従来法に比べて高速にかつ動的に変更できる.この方法を用いて,昇圧回路用インダクタの最適化を行う.もう1つは新たなon/offベースのトポロジー最適化法の提案である.トポロジー最適化は形態の変化も許容した最適化法であり,形状の表現能力が高く,初期概念設計に有効な方法である。従来法では,実現の困難な複雑形状が発生してしまう問題があったが,この問題を解消する新たな方法を提案し,これを同期電動機の最適設計に応用する.上記に加えて,最適化で検討した有限要素解析を応用し,電磁誘導型振動発電の設計を行う.振動発電は微小振動から電力を回収する機構であり,無線センサーの電力源として注目されている.ここでは,有限要素法による評価に基づき,広帯域・高出力な振動発電を設計する.
Conffering University: 北海道大学
Degree Report Number: 甲第11766号
Degree Level: 博士
Degree Discipline: 情報科学
Examination Committee Members: (主査) 教授 五十嵐 一, 教授 小笠原 悟司, 教授 北 裕幸, 准教授 野口 聡
Degree Affiliation: 情報科学研究科(システム情報科学専攻)
Type: theses (doctoral)
URI: http://hdl.handle.net/2115/58927
Appears in Collections:学位論文 (Theses) > 博士 (情報科学)
課程博士 (Doctorate by way of Advanced Course) > 情報科学院(Graduate School of Information Science and Technology)

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