書誌事項
- タイトル別名
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- Bayesian Optimization-Based Estimation Method of Geometry Parameters from Electrical Motor Parameters for Interior Permanent Magnet Synchronous Motors
説明
<p>Accurate geometry parameters of interior permanent magnet synchronous motors (IPMSMs) are required to analyze the characteristics of the motor via electromagnetic field analysis. However, in some cases, it may not be possible to fully disassemble the IPMSMs being evaluated, resulting in limited access to certain geometry parameters. This study investigates a method for estimating the geometry parameters of the IPMSMs using Bayesian optimization. The proposed method can estimate ten remaining geometry parameters that cannot be measured from the fourteen parameters and electrical parameters obtained without fully decomposing the motor. Since the composition of the magnets and other materials is unknown, the shape parameters obtained by the proposed method are slightly different from those obtained by actual shape measurements. However, the electrical characteristics are close to those of the actual machine. Even though torque was not used in the estimation, the error could be reduced from 18% to 3.6%.</p>
収録刊行物
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- 電気学会論文誌D(産業応用部門誌)
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電気学会論文誌D(産業応用部門誌) 144 (4), 199-204, 2024-04-01
一般社団法人 電気学会
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キーワード
詳細情報 詳細情報について
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- CRID
- 1390018198841583872
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- ISSN
- 13488163
- 09136339
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- Crossref
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- 抄録ライセンスフラグ
- 使用不可