• DocumentCode
    313793
  • Title

    On-line optimization of the Tennessee Eastman challenge process

  • Author

    Yan, Ming ; Ricker, N.L.

  • Author_Institution
    Dept. of Chem. Eng., Washington Univ., Seattle, WA, USA
  • Volume
    5
  • fYear
    1997
  • fDate
    4-6 Jun 1997
  • Firstpage
    2960
  • Abstract
    A real-time optimization (RTO) strategy that eliminates the steady-state-wait requirement of conventional RTO is described. To ensure its success, four critical components-dynamic modeling, online parameter and state estimation, a plant-wide control system, and an optimization algorithm-must be well coordinated. It is especially effective when conventional RTO cannot be used, and sustained disturbances occur on a time scale that is close to the plant response time. This strategy was applied to the Tennessee Eastman challenge process, a process involving separation and compression (Downs and Vogel, “A plant-wide industrial process control problem,” Computers and Chemical Engineering, vol.17, no.3, p.245-55, 1993). RTO saved up to 6% of the operating cost relative to the cases without RTO
  • Keywords
    compressors; nonlinear control systems; online operation; optimal control; parameter estimation; predictive control; process control; real-time systems; separation; state estimation; Tennessee Eastman challenge process; compression; dynamic modeling; online optimization; online parameter estimation; online state estimation; optimal control; plant response time; plant-wide control system; real-time optimization; separation; steady-state-wait requirement; Chemical engineering; Chemical industry; Computer industry; Control engineering computing; Control system synthesis; Delay; Industrial control; Process control; State estimation; Steady-state;
  • 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.1997.612000
  • Filename
    612000