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ID 14098
JaLCDOI
Sort Key
3
フルテキストURL
著者
阿部 快洋 Dept. of Electrical and Electronic Engineering Okayama University
小西 正躬 Dept. of Electrical and Electronic Engineering Division of Industrial Innovation Sciences The Graduate School of Natural Science and Technology Okayama University
西 竜志 Dept. of Electrical and Electronic Engineering Division of Industrial Innovation Sciences The Graduate School of Natural Science and Technology Okayama University
今井 純 Dept. of Electrical and Electronic Engineering Division of Industrial Innovation Sciences The Graduate School of Natural Science and Technology Okayama University Kaken ID researchmap
抄録
In this study, auto tuning of PID control gains in hot strip looper controller is made based on RNN model. Neuro emulator is employed to model the characteristics of looper dynamics. Combining neuro emulator and RNN model, auto tuning system of PID control gains is constructed. As the inputs to RNN, plural evaluation functions which reflect individual preference of human experts. Further, Self learning mechamism is embeded to RNN model which enables adaptation to the change in rolling chracteristics. Through numerical experiments, the effect of the proposed method is ascertained.
出版物タイトル
Memoirs of the Faculty of Engineering, Okayama University
発行日
2006-01
40巻
1号
出版者
Faculty of Engineering, Okayama University
出版者(別表記)
岡山大学工学部
開始ページ
16
終了ページ
22
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