• DocumentCode
    574451
  • Title

    Stability and asymptotic observers of binary distillation processes described by nonlinear convection/diffusion models

  • Author

    Dudret, Stephane ; Beauchard, K. ; Ammouri, Fouad ; Rouchon, Pierre

  • Author_Institution
    CRCD, Process Control & Logistics Group, Jouy-en-Josas, France
  • fYear
    2012
  • fDate
    27-29 June 2012
  • Firstpage
    3352
  • Lastpage
    3358
  • Abstract
    Distillation column monitoring requires shortcut nonlinear dynamic models. On the basis of a classical wave-model and time-scale reduction techniques, we derive a one-dimensional partial differential equation describing the composition dynamics where convection and diffusion terms depend non-linearly on the internal compositions and the inputs. The Cauchy problem is well posed for any positive time and we prove that it admits, for any relevant constant inputs, a unique stationary solution. We exhibit a Lyapunov function to prove the local exponential stability around the stationary solution. For a boundary measure, we propose a family of asymptotic observers and prove their local exponential convergence. Numerical simulations indicate that these convergence properties seem to be more than local.
  • Keywords
    Lyapunov methods; asymptotic stability; convection; convergence of numerical methods; diffusion; distillation; distillation equipment; nonlinear dynamical systems; observers; partial differential equations; Cauchy problem; Lyapunov function; asymptotic observers; binary distillation processes; distillation column monitoring; local exponential convergence; local exponential stability; nonlinear convection model; nonlinear diffusion model; nonlinear dynamic models; numerical simulations; one-dimensional partial differential equation; time-scale reduction techniques; Biological system modeling; Boundary conditions; Equations; Liquids; Lyapunov methods; Mathematical model; Observers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2012
  • Conference_Location
    Montreal, QC
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4577-1095-7
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2012.6315036
  • Filename
    6315036