• DocumentCode
    2067855
  • Title

    Innovation in industrial model predictive control

  • Author

    Sandoz, D.J. ; Thorpe, P.J. ; Kurth, T. ; Desforges, M.J. ; Woolley, L.S.

  • Author_Institution
    Manchester Univ., UK
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    42491
  • Lastpage
    512
  • Abstract
    The industrial application of model predictive control (MPC) has been largely confined to the petrochemical arena. Crossover into the general process industries has been limited. Among the reasons that may be proposed for this can be highlighted: a lack of precedent applications; large engineering costs; inappropriate control technologies. This paper describes initiatives to address such barriers so that the benefits of MPC can be more widely available: demonstration projects on mainstream process applications; software tools to minimise engineering costs; embedding MPC within the plant regulatory control system; a flexible approach to control technology so that solutions match the problem encountered rather than the other way round
  • Keywords
    process control; MPC; engineering cost minimisation; inappropriate control technologies; industrial model predictive control; mainstream process applications; petrochemical industry; plant regulatory control system; process industries; software tools;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Practical Experiences with Predictive Control (Ref. No. 2000/023), IEE Seminar on
  • Conference_Location
    Middlesbrough
  • Type

    conf

  • DOI
    10.1049/ic:20000117
  • Filename
    847007