• DocumentCode
    2669610
  • Title

    Multivariable process control using analytical decoupling and disturbance observer

  • Author

    Li, Guo-Zhong ; Xiang, Bo ; Zhou, Ping ; Zhao, Jin-Hui

  • fYear
    2012
  • fDate
    23-25 May 2012
  • Firstpage
    1670
  • Lastpage
    1674
  • Abstract
    Control a closed-circuit grinding process is a challenging problem due to its complex dynamic characteristics and heavy interactions among the control loops. Especially the various process disturbances and uncertain dynamics have a great influence on the control performances of the closed-loop system. In this paper, a compound control strategy by combining the analytical decoupling control and disturbance observer (DOB) technique is proposed to handle such an intricate multivariable process. The decoupling controller acts as prefiter and is used to generate appropriate control actions such that a desired setpoint tracking response is achieved. The DOB is employed to estimate the various disturbances and suppress them by feedforward compensation design. Control studies have been performed by simulation tests for setpoint tracking and disturbance rejection problems.
  • Keywords
    closed loop systems; compensation; control system synthesis; feedforward; grinding; multivariable control systems; observers; process control; tracking; uncertain systems; DOB; analytical decoupling controller; closed loop system; closed-circuit grinding process control; complex dynamic characteristics; compound control strategy; control loops; control performances; disturbance estimation; disturbance observer; disturbance rejection problems; disturbance suppression; feedforward compensation design; multivariable process control; prefiter; setpoint tracking response; uncertain dynamics; Compounds; Delay effects; Feedforward neural networks; Feeds; Integrated circuit modeling; Observers; Process control; Grinding process; analytical decoupling; disturbance observer; multivariable control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2012 24th Chinese
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4577-2073-4
  • Type

    conf

  • DOI
    10.1109/CCDC.2012.6244267
  • Filename
    6244267