• DocumentCode
    2471189
  • Title

    Modeling and identification of hot rolling mill

  • Author

    Pedersen, Lars Malcolm

  • Author_Institution
    Danish Steel Works Ltd., Frederiksvaerk, Denmark
  • Volume
    5
  • fYear
    1995
  • fDate
    21-23 Jun 1995
  • Firstpage
    3674
  • Abstract
    Two multivariable models for the hot rolling mill at the Danish Steel Works Ltd. have been derived and identified. The purposes of the models are to: 1) describe the process dynamics; and 2) estimate the plate thickness. The basic model structures are derived using physical relations for the process. The input signals for the models are measured during normal operation of the process. Since it is not possible to measure the process output directly, it is measured after the rolling. The two measurements are combined by solving an optimization problem. The two dynamic models are identified and satisfactory results are obtained. This indicates that the physical model structure is sensible. Furthermore multivariable models for controller design and implementation are now available for future work
  • Keywords
    dynamics; hot rolling; identification; multivariable systems; optimisation; steel industry; thickness control; Danish Steel Works; dynamic models; hot rolling mill; identification; input signals; multivariable models; optimization; plate thickness estimation; process dynamics; Hydraulic systems; Lagrangian functions; Milling machines; Moment methods; Predictive models; Signal processing; State-space methods; Steel; Thickness control; Thickness measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, Proceedings of the 1995
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7803-2445-5
  • Type

    conf

  • DOI
    10.1109/ACC.1995.533823
  • Filename
    533823