• DocumentCode
    2472739
  • Title

    POD based observer for contaminant flow estimation in building systems

  • Author

    John, T. ; Guay, M. ; Hariharan, N.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada
  • fYear
    2009
  • fDate
    10-12 June 2009
  • Firstpage
    4642
  • Lastpage
    4647
  • Abstract
    In this paper, we propose a POD-based technique that is suitable for the design of reliable observers for the estimation of velocity field and contaminant flow for Navier-Stokes flow. POD modes are constructed using the method snapshot. Karhunen-Loeve (Galerkin) projection to develop a reduced-order model obtained by projecting the velocity field onto the most important POD modes. The resulting finite-dimensional dynamical system is suitable for the design of nonlinear observers. The estimate of the velocity field is then used to estimate the concentration field of a contaminant from the 2D advection-diffusion equation. The prime application considered is the estimation of airflow and contaminant flow in building systems. A 2D simulation example is provided to demonstrate the applicability of the technique.
  • Keywords
    Galerkin method; Karhunen-Loeve transforms; Navier-Stokes equations; contamination; flow control; flow simulation; nonlinear control systems; nonlinear dynamical systems; observers; 2D advection-diffusion equation; Karhunen-Loeve projection; Navier-Stokes flow; airflow estimation; building systems; contaminant flow estimation; finite-dimensional dynamical system; nonlinear observer design; reduced-order model; reliable observers design; snapshot method; velocity field estimation; Buildings; Control systems; Differential equations; Fluid flow measurement; Meteorology; Navier-Stokes equations; Nonlinear equations; Reduced order systems; State estimation; Velocity control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2009. ACC '09.
  • Conference_Location
    St. Louis, MO
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4244-4523-3
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2009.5160458
  • Filename
    5160458