• DocumentCode
    346585
  • Title

    Sensitivity analysis of an LQ optimal multivariable controller for a fine coal injection vessel

  • Author

    Birk, Wolfgang ; Medvedev, Alexander

  • Author_Institution
    Control Eng. Group, Lulea Univ. of Technol., Sweden
  • Volume
    2
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    1322
  • Abstract
    This paper deals with a sensitivity analysis of an LQ optimal multivariable controller for a fine coal injection vessel used in the blast furnace process. The multivariable controller from a previous work is briefly presented and the closed loop system is studied by means of a sensitivity analysis. Effects of disturbances and uncertainty on the closed loop system are studied based on analysis of the singular values of the sensitivity and the complementary sensitivity functions, the relative gain array and the minimized condition numbers. Finally, the sensitivity analysis is validated by the use of logged data from test operation at the coal injection plant at SSAB Tunnplat Lulea, Sweden
  • Keywords
    closed loop systems; furnaces; linear quadratic control; metallurgical industries; multivariable control systems; sensitivity analysis; LQ optimal multivariable controller; SSAB Tunnplat Lulea; Sweden; blast furnace; blast furnace process; closed loop system; complementary sensitivity functions; disturbances effects; fine coal injection vessel; iron production; minimized condition numbers; relative gain array; sensitivity analysis; sensitivity singular values; uncertainty effects; Blast furnaces; Closed loop systems; Control engineering; Control systems; Iron; Nitrogen; Optimal control; Production; Sensitivity analysis; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industry Applications Conference, 1999. Thirty-Fourth IAS Annual Meeting. Conference Record of the 1999 IEEE
  • Conference_Location
    Phoenix, AZ
  • ISSN
    0197-2618
  • Print_ISBN
    0-7803-5589-X
  • Type

    conf

  • DOI
    10.1109/IAS.1999.801672
  • Filename
    801672