石油精製プロセスに対するGMDHネットワークを用いた非線形ソフトセンサの開発

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: 2012/06/01

タイトル(英語): Development of a Nonlinear Soft-Sensor Using a GMDH Network for a Refinery Crude Distillation Tower

著者名: 藤井　憲三（出光興産（株） 製造部石油システムセンター），山本　透（広島大学大学院工学研究院）

著者名(英語): Kenzo Fujii (Process System Center, Idemitu Kosan, Co. Ltd.), Toru Yamamoto (Graduate Faculty of Engineering, Hiroshima University)

キーワード: GMDHネットワーク，モデリング，フォーミング予測，蒸留プロセス，非線形システム　　GMDH networks，modeling，foaming prediction，refinery crude distillation tower，nonlinear systems

要約(英語): In atmospheric distillation processes, the stabilization of processes is required in order to optimize the crude-oil composition that corresponds to product market conditions. However, the process control systems sometimes fall into unstable states in the case where unexpected disturbances are introduced, and these unusual phenomena have had an undesirable affect on certain products. Furthermore, a useful chemical engineering model has not yet been established for these phenomena. This remains a serious problem in the atmospheric distillation process. This paper describes a new modeling scheme to predict unusual phenomena in the atmospheric distillation process using the GMDH (Group Method of Data Handling) network which is one type of network model. According to the GMDH network, the model structure can be determined systematically. However, the least squares method has been commonly utilized in determining weight coefficients (model parameters). Estimation accuracy is not entirely expected, because the sum of squared errors between the measured values and estimates is evaluated. Therefore, instead of evaluating the sum of squared errors, the sum of absolute value of errors is introduced and the Levenberg-Marquardt method is employed in order to determine model parameters. The effectiveness of the proposed method is evaluated by the foaming prediction in the crude oil switching operation in the atmospheric distillation process.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.132 No.6 （2012） 特集：データ指向型モデリング/予測/制御

本誌掲載ページ: 919-925 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/132/6/132_919/_article/-char/ja/