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Controller Tuning Based on Bayesian Optimization
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- NAKANO Yuichiro
- Kyoto University, Graduate School of Informatics
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- FUJIMOTO Yusuke
- Kyoto University, Graduate School of Informatics
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- SUGIE Toshiharu
- Kyoto University, Graduate School of Informatics
Bibliographic Information
- Other Title
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- ベイズ最適化を用いた制御器チューニング
- ベイズ最適化を用いた制御器チューニング : 提案と実験検証
- ベイズ サイテキカ オ モチイタ セイギョキ チューニング : テイアン ト ジッケン ケンショウ
- —Proposal and Experimental Validation—
- —提案と実験検証—
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Description
<p>This paper proposes an approach for automatic controller tuning based on experimental data only. It determines the controller parameters for a given cost function without knowing the true plant dynamics via Bayesian optimization. The validity of the proposed method is tested through some numerical simulations. Then, the proposed method is applied to PID controller tuning for an actual motor positioning system. The experimental results show that the proposed method improves the control performance effectively.</p>
Journal
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- Transactions of the Society of Instrument and Control Engineers
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Transactions of the Society of Instrument and Control Engineers 55 (4), 269-274, 2019
The Society of Instrument and Control Engineers
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Details 詳細情報について
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- CRID
- 1390845713060541568
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- NII Article ID
- 130007633070
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- NII Book ID
- AN00072392
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- ISSN
- 18838189
- 04534654
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- NDL BIB ID
- 029673711
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- Text Lang
- ja
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- Article Type
- journal article
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- Data Source
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- JaLC
- NDL Search
- Crossref
- CiNii Articles
- KAKEN
- OpenAIRE
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- Abstract License Flag
- Disallowed