Online Identification of Thermal Properties in a Granular-Bed

• Cui Guang-Hui

  Department of Chemical Engineering, Tohoku University

• Yoshida Masatoshi

  Department of Chemical Engineering, Tohoku University

• Yamashita Yoshiyuki

  Department of Chemical Engineering, Tohoku University

• Matsumoto Shigeru

  Department of Chemical Engineering, Tohoku University

Bibliographic Information

Other Title

• 充填層における熱物性パラメータのオンライン同定
• ジュウテンソウ ニ オケル ネツ ブッセイ パラメータ ノ オンライン ドウテイ

Abstract

To estimate the temperature profiles in a granular-bed heat conduction process, it is important to know the thermal properties accurately. In this paper, online parameter identification of the thermal properties was carried out by using the Extended Kalman Filter. A state space model was derived from the mathematical model of the granular-bed process by use of finite integral transformation, and the Extended Kalman Filter was used to estimate state variables and parameters simultaneously. The proposed parameter-identification method was applied experimentally to a laboratory scale granular-bed process. By using a small number of temperature measurements as observed variables, the Extended Kalman Filter provided accurate parameter identification even in the presence of measurement and system noises.

Journal

• KAGAKU KOGAKU RONBUNSHU

  KAGAKU KOGAKU RONBUNSHU 33 (1), 43-47, 2007

  The Society of Chemical Engineers, Japan

Keywords

• Process Control
• Parameter Identification
• Extended Kalman Filter
• Distributed Parameter System
• Heat Conduction Process

Details

• CRID: 1390001204507744128
• NII Article ID: 10018501079
• NII Book ID: AN00037234
• DOI: 10.1252/kakoronbunshu.33.43
• ISSN: 13499203
• ISSN: 0386216X
• NDL BIB ID: 8665513
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I8665513
• Web Site: http://www.jstage.jst.go.jp/article/kakoronbunshu/33/1/33_1_43/_pdf
• Text Lang: ja
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed