• DocumentCode
    3599443
  • Title

    Control of a Train of High Purity Distillation Columns for Efficient Production of 13C Isotopes

  • Author

    Ionescu, Clara ; Both, Roxana ; Fustos, Csaba ; Festila, Clement ; Gligan, Mihai ; De Keyser, Robin

  • Author_Institution
    Dept. of Electr. energy, Ghent Univ., Ghent, Belgium
  • fYear
    2015
  • Firstpage
    49
  • Lastpage
    56
  • Abstract
    It is well-known that high-purity distillation columns are difficult to control due to their ill-conditioned and strongly nonlinear behaviour. The fact that these processes are operated over a wide range of feed compositions and flow rates makes the control design even more challenging. This paper proposes the most suitable control strategies applicable to a series of cascaded distillation column processes. The conditions for control and input-output relations are discusssed in view of the global control strategy. The increase in complexity with increased number of series cascaded distillation column processes is tackled. Uncertainty in the model parameters is discussed with respect to the dynamics of the global train distillation process. The main outcome of this work is insight into the possible control methodologies for this particular class of distillation processes.
  • Keywords
    cascade control; distillation; distillation equipment; multivariable control systems; nonlinear control systems; process control; 13C isotope; control design; control strategy; feed composition; flow rate; high-purity distillation column; ill-conditioned behaviour; input-output relation; nonlinear behaviour; series cascaded distillation column process; train distillation process; Carbon; Distillation equipment; Feeds; Isotopes; Liquids; Process control; Uncertainty; carbon; distillation column; isotopes; multivariable control; process industry; uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Systems and Computer Science (CSCS), 2015 20th International Conference on
  • Print_ISBN
    978-1-4799-1779-2
  • Type

    conf

  • DOI
    10.1109/CSCS.2015.150
  • Filename
    7168408