| 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
|
| 巻 | 40巻
|
| 号 | 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 |
英語
|
| 論文のバージョン | publisher
|
| NAID | |
| Eprints Journal Name | mfe
|
