• DocumentCode
    2900467
  • Title

    Crude unit identification for MPC using ASYM method

  • Author

    Zhu, Yucai ; Van Wijek, M. ; Janssen, Eric ; Graaf, Ton ; Van Aalst, Kees ; Kieviet, Leo

  • Author_Institution
    Tai-Ji Control, Eindhoven, Netherlands
  • Volume
    5
  • fYear
    1997
  • fDate
    4-6 Jun 1997
  • Firstpage
    3395
  • Abstract
    We introduce an asymptotic method (ASYM) of identification. The ASYM has been developed for multivariable process identification for model based control. Fundamental problems, such as test signal design for control, model order/structure selection, parameter estimation and model error quantification, are solved in a systematic manner. The method can supply not only an input/output model and an unmeasured disturbance model which are (asymptotic) maximum likelihood estimates, but also the upper bound matrix for the model errors that can be used for model validation and robustness analysis. An application of the method for a crude unit atmospheric column DMC is presented
  • Keywords
    maximum likelihood estimation; multivariable control systems; petroleum industry; predictive control; process control; robust control; ASYM method; asymptotic maximum likelihood estimates; crude unit identification; dynamic matrix control; input/output model; model based control; model error quantification; model order/structure selection; model predictive control; multivariable process identification; robustness analysis; test signal design; unmeasured disturbance model; upper bound matrix; Atmospheric modeling; Chemical industry; Error correction; Fuel processing industries; Industrial control; Parameter estimation; Predictive models; Signal design; System testing; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1997. Proceedings of the 1997
  • Conference_Location
    Albuquerque, NM
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-3832-4
  • Type

    conf

  • DOI
    10.1109/ACC.1997.612095
  • Filename
    612095