• DocumentCode
    3598350
  • Title

    State estimation for linearized MHD flow

  • Author

    Chandrasekar, J. ; Barrero, O. ; Ridley, A. ; Bernstein, D.S. ; De Moor, B.

  • Author_Institution
    Michigan Univ., Ann Arbor, MI, USA
  • Volume
    3
  • fYear
    2004
  • Firstpage
    2584
  • Abstract
    A state estimation problem for linearized magnetohydrodynamic (MHD) flow is considered. The ideal MHD equations governing the flow of plasma in a two-dimensional channel are linearized about an equilibrium flow. Pseudospectral collocation methods are used to spatially discretize the linear partial differential equations and obtain a state-space model of the linearized dynamics. Three different discrete-time Kalman filtering algorithms are used to estimate the state variables, and their performance is analyzed.
  • Keywords
    Kalman filters; channel flow; partial differential equations; plasma magnetohydrodynamics; state estimation; state-space methods; discrete-time Kalman filtering algorithms; linear partial differential equations; linearized magnetohydrodynamic flow; plasma flow; pseudospectral collocation methods; state estimation; state-space model; two dimensional channel; Magnetohydrodynamic power generation; Navier-Stokes equations; Partial differential equations; Plasma confinement; Plasma density; Space heating; Space vehicles; Stability; State estimation; Sun;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2004. CDC. 43rd IEEE Conference on
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-8682-5
  • Type

    conf

  • DOI
    10.1109/CDC.2004.1428847
  • Filename
    1428847