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
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;
Conference_Titel :
Decision and Control, 2004. CDC. 43rd IEEE Conference on
Print_ISBN :
0-7803-8682-5
DOI :
10.1109/CDC.2004.1428847
