省エネルギー化のためのソフトセンサを用いた加熱炉の酸素濃度制御

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2018/05/01

タイトル(英語): Energy-saving inferential control system for industrial furnace

著者名: 小比賀　理延（ADAPTEX（株）／広島大学大学院工学研究科），山本　透（広島大学大学院工学研究科／ADAPTEX（株））

著者名(英語): Masanobu Obika (ADAPTEX Co., Ltd./Hiroshima University, Graduate School of Engineering Faculty), Toru Yamamoto (Hiroshima University, Graduate School of Engineering Faculty/ADAPTEX Co., Ltd.)

キーワード: 加熱炉，省エネルギー，PLS，物理モデル，推定制御　　furnace，energy conservation，PLS，physical model，inferential control

要約(英語): In process Industries, there is a growing trend toward low carbon society. Especially in oil refinement and petrochemical industries, furnaces consume a lot of energy. In order to reduce the energy consumption, excess O2 has to be reduce safely. However, high gain O2 control cannot be done due to L/T>1. Therefore, conventional O2 controllers are operated with low gains. That is, high stable control performance for disturbances has not been able to obtain, then minimum excess O2 control cannot be achieved. The proposed method which utilizes the estimated O2 variable can derive much better control performance. Moreover, since the proposed estimation technique consists of a physical model part and a stochastic soft-sensor, both estimation accuracy and reliability for extrapolation can be obtained. The validity of the proposed scheme is verified through actual application results.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.138 No.5 （2018） 特集：データの計測・解析と制御技術への応用

本誌掲載ページ: 480-485 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/138/5/138_480/_article/-char/ja/