• DocumentCode
    3523500
  • Title

    Comparison between nonlinear model-based controllers and gain-scheduling Internal Model Control based on identified model

  • Author

    Jahanshahi, Esmaeil ; Skogestad, Sigurd

  • Author_Institution
    Dept. of Chem. Eng., Norwegian Univ. of Sci. & Technol., Trondheim, Norway
  • fYear
    2013
  • fDate
    10-13 Dec. 2013
  • Firstpage
    853
  • Lastpage
    860
  • Abstract
    Instability and inverse response behaviour make anti-slug control at offshore oil-fields an interesting control problem where a robust solution considering the nonlinearity of the system is required. We tested three control solutions by experiments in this paper. First, we used state-feedback with state estimation by a nonlinear high-gain observer. Secondly, we applied feedback linearization with measured outputs. Finally, we designed gain-scheduling IMC (Internal Model Control) based on linear models identified from closed-loop step test. We compared these three solutions in terms of robustness and their range of operation. The high-gain observer was only applicable by using the top-side pressure measurement in a limited range; it was not stable when using the the subsea pressure measurement in closed loop. The IMC method was more robust against time-delay in the subsea pressure measurement compared to the feedback linearizing controller.
  • Keywords
    closed loop systems; control system synthesis; flow control; flow instability; linearisation techniques; multiphase flow; nonlinear control systems; observers; robust control; scheduling; state estimation; state feedback; IMC method; antislug control; closed-loop step test; feedback linearization; feedback linearizing controller; gain-scheduling internal model control; high-gain observer; identified model; inverse response behaviour; linear models; nonlinear high-gain observer; nonlinear model-based controllers; offshore oil-fields; state estimation; state-feedback; subsea pressure measurement; time-delay; top-side pressure measurement; Control systems; Liquids; Mathematical model; Observers; Pipelines; Pressure measurement; Valves;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
  • Conference_Location
    Firenze
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-5714-2
  • Type

    conf

  • DOI
    10.1109/CDC.2013.6759989
  • Filename
    6759989