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ID 46978
JaLCDOI
Sort Key
5
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
Imai, Jun Dept. of Electrical and Electronic Engineering Okayama University
Nishi, Tatsushi Dept. of Electrical and Electronic Engineering Okayama University
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.
出版物タイトル
Memoirs of the Faculty of Engineering, Okayama University
発行日
2003-03
37巻
2号
出版者
Faculty of Engineering, Okayama University
開始ページ
29
終了ページ
44
ISSN
0475-0071
NCID
AA10699856
資料タイプ
紀要論文
OAI-PMH Set
岡山大学
言語
English
論文のバージョン
publisher
NAID
Eprints Journal Name
mfe