ID | 46978 |
JaLCDOI | |
Sort Key | 5
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フルテキストURL | |
著者 |
Imajo, Shuya
Division of Electronic and Information System Engineering Graduate School of Natural Science and Technology Okayama University
Konishi, Masami
Dept. of Electrical and Electronic Engineering Okayama University
Nishi, Tatsushi
Dept. of Electrical and Electronic Engineering Okayama University
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抄録 | In hot strip rolling mills, the looper control system is automated. However, the looper's behavior tends to be unstable in threading. Therefore, human expert always intervenes and stabilizes the looper's behavior by tuning PID gains and interposing manipulation variable of looper control system. In this paper, we propose a method based on the recurrent neural network to express PID gains tuning action by human. Furthermore, we propose two methods to update the model by learning. To check the effectiveness of the proposed learning methods, numerical simulation applied to the looper height control is carried out.
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出版物タイトル |
Memoirs of the Faculty of Engineering, Okayama University
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発行日 | 2003-03
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巻 | 37巻
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号 | 2号
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出版者 | Faculty of Engineering, Okayama University
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開始ページ | 29
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終了ページ | 44
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ISSN | 0475-0071
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NCID | AA10699856
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資料タイプ |
紀要論文
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OAI-PMH Set |
岡山大学
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言語 |
英語
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論文のバージョン | publisher
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NAID | |
Eprints Journal Name | mfe
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