• DocumentCode
    620067
  • Title

    Intelligent decoupling in AGC-AFC system based on CMAC model

  • Author

    Jiaren Guo ; Xiting Wang ; Ying Xu ; Hang Li ; Shiguo Jiang

  • Author_Institution
    Shandong Gold Min. (Laizhou) Refinery, Co., Ltd., Yantai, China
  • fYear
    2013
  • fDate
    25-27 May 2013
  • Firstpage
    2176
  • Lastpage
    2180
  • Abstract
    Flatness and gauge are the most important factors in strip quality. Automatic gauge control (AGC) and automatic flatness control (AFC) are a coupled multivariable system, which holds down the quality of strip heavily. In this paper the dynamic mathematics model is established considering AGC and AFC as a whole system, designing intelligent-decoupling method based on CMAC model. The simulation shows that the intelligent decoupling method is able to eliminate the effect of the coupling in AGC-AFC system as quickly as possible, guarantee the stability of the system, at the same time the intelligent controller has good performances on adaptively tracking target and resisting disturbances.
  • Keywords
    adaptive control; cerebellar model arithmetic computers; gauges; industrial control; intelligent control; multivariable control systems; stability; strips; target tracking; AGC-AFC system; CMAC model; adaptively tracking target; automatic flatness control; automatic gauge control; coupled multivariable system; dynamic mathematics model; intelligent controller; intelligent decoupling; intelligent-decoupling method; resisting disturbances; strip quality; system stability; whole system; Artificial intelligence; Couplings; Equations; Force; Frequency control; Mathematical model; Strips; AFC; AGC; CMAC; Intelligent decoupling control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2013 25th Chinese
  • Conference_Location
    Guiyang
  • Print_ISBN
    978-1-4673-5533-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2013.6561296
  • Filename
    6561296