• DocumentCode
    2384161
  • Title

    On-line model based control of a safety constrained batch reactor subject to recipe uncertainties

  • Author

    Simon, Levente L. ; Nagy, Zoltan K. ; Hungerbuehler, Konrad

  • Author_Institution
    Inst. of Chem. & Bioeng., ETH Zurich, Zurich
  • fYear
    2008
  • fDate
    11-13 June 2008
  • Firstpage
    1661
  • Lastpage
    1666
  • Abstract
    This contribution presents the on-line model based level control of a batch reactor with reaction rate uncertainties. The analyzed chemical batch process is catalyzed by a catalyst which decomposes in the reactor; therefore it is fed several times during the batch. Although the optimal reactor temperature profile, using a fixed catalyst dosing policy, is optimized off-line an on-line control solution is needed in order to accommodate the reaction rate and level disturbances which arise due to catalyst dosing uncertainty (feeding time, mass and purity). The chemical reaction produces a vapour phase by product which causes the level change of the reaction mixture. The on-line control method is based on the shrinking horizon optimal control methodology and it uses a reaction and hydrodynamic model. It is concluded that the on-line level control strategy delivers good level control results despite the disturbances and an output feedback controller is needed to control the level on a discretization interval.
  • Keywords
    batch processing (industrial); chemical reactors; feedback; optimal control; chemical batch process; discretization interval; fixed catalyst dosing policy; hydrodynamic model; on-line model based control; optimal reactor temperature profile; output feedback controller; recipe uncertainties; safety constrained batch reactor; shrinking horizon optimal control methodology; Chemical analysis; Chemical processes; Chemical reactors; Inductors; Level control; Optimal control; Safety; Temperature control; Uncertainty; Weight control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2008
  • Conference_Location
    Seattle, WA
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4244-2078-0
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2008.4586730
  • Filename
    4586730