• DocumentCode
    456669
  • Title

    Parameters Identifying and Experiment of Automatic Gauge Control System in 300-Rolling Mill

  • Author

    Shan, Dong-sheng ; Kong, Xiang-dong ; An, Ya-ya ; Gao, Ying-jie

  • Author_Institution
    Mech. Eng. Coll., Yanshan Univ.
  • Volume
    1
  • fYear
    2006
  • fDate
    Aug. 30 2006-Sept. 1 2006
  • Firstpage
    690
  • Lastpage
    693
  • Abstract
    The article discusses the application of system identification technology to build model of hydraulic automatic gauge control system (AGC) in 300 four-high mill, because it is hard to acquire the accurate value of some parameters by analyzing the mechanical method. By comparing and analyzing the identified results, the identification model proves to be feasible and creditable. It might establish a foundation for system design, control characteristic analyzing and optimum control
  • Keywords
    control system analysis; hydraulic control equipment; parameter estimation; rolling; rolling mills; thickness control; control characteristic analysis; hydraulic automatic gauge control system model; mechanical method; optimum control; parameter identification model; rolling mill; system design; system identification technology; Automatic control; Control systems; Equations; Least squares methods; Milling machines; Resonance light scattering; Signal processing; Strips; Thickness control; White noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7695-2616-0
  • Type

    conf

  • DOI
    10.1109/ICICIC.2006.134
  • Filename
    1691893