• DocumentCode
    2779787
  • Title

    Research on application of Smith predictor to monitor AGC in hot strip rolling mills

  • Author

    Tan Shu-bin ; Bao Ming-wei ; Liu Jian-chang

  • Author_Institution
    Key Lab. of Integrated Autom. of Process Ind., Northeastern Univ., Shenyang, China
  • fYear
    2009
  • fDate
    17-19 June 2009
  • Firstpage
    4172
  • Lastpage
    4175
  • Abstract
    Because of the long distance between the last finishing mill and the X-ray thickness gauge, there was a long delay time for the AGC system to get the gauge error information feedback, which has some negative effect on the control of strip thickness, so the monitor AGC was not a control system in time. According to the virtual model fitted by true measured parameters, the Smith predictor in the monitor AGC was applied to predict the gauge error in the finishing mill and used this gauge error to control the strip rolling mill. As a result, not only the mill response to strip gauge error was mended and the control system stability was improved, but also the strip gauge precision was obviously improved when the Smith predictor was implied to the industrial site.
  • Keywords
    finishing; gauges; hot rolling; rolling mills; stability; AGC system; Smith predictor; control system stability; finishing mill; gauge error information feedback; hot strip rolling mills; mill response; strip gauge precision; x-ray thickness gauge; Control systems; Delay effects; Error correction; Finishing; Milling machines; Monitoring; Negative feedback; Predictive models; Strips; Thickness control; Delay time; Hot strip rolling mill; Monitor-AGC; Smith predictor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2009. CCDC '09. Chinese
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4244-2722-2
  • Electronic_ISBN
    978-1-4244-2723-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2009.5191767
  • Filename
    5191767