DocumentCode :
183786
Title :
A dynamic state observer for real-time reconstruction of the tokamak plasma profile state and disturbances
Author :
Felici, F. ; de Baar, Marco ; Steinbuch, Maarten
Author_Institution :
Control Syst. Technol. Group, Eindhoven Univ. of Technol., Eindhoven, Netherlands
fYear :
2014
fDate :
4-6 June 2014
Firstpage :
4816
Lastpage :
4823
Abstract :
A dynamic observer is presented which can reconstruct the internal state of a tokamak fusion plasma, consisting of the spatial distribution of current and temperature, from measurements. Today, the internal plasma state is usually reconstructed by solving an ill-conditioned inversion problem using a large number of measurements at one point in time. Such an approach does not take into account the time evolution of the underlying dynamical system (the plasma) and strongly relies on (technically challenging) internal measurements. The observer-based approach presented here includes the dynamics of the plasma current and temperature, modeled by a set of coupled nonlinear 1-D PDEs which are discretized in space and time to yield a finite-dimensional nonlinear model. The observer, which is based on an Extended Kalman Filter, estimates the state of an augmented model which includes additive state disturbances modeled as a random walk. Simulation results demonstrate the effectiveness of this observer in the case of perturbed models and input disturbances.
Keywords :
Kalman filters; Tokamak devices; multidimensional systems; nonlinear filters; observers; physical instrumentation control; augmented model; dynamic state observer; extended Kalman filter; finite-dimensional nonlinear model; ill-conditioned inversion problem; internal plasma state; observer-based approach; real-time reconstruction; state estimation; tokamak fusion plasma; tokamak plasma profile; Covariance matrices; Current measurement; Mathematical model; Plasma measurements; Temperature measurement; Tokamaks; Distributed parameter systems; Kalman filtering; Observers for nonlinear systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2014
Conference_Location :
Portland, OR
ISSN :
0743-1619
Print_ISBN :
978-1-4799-3272-6
Type :
conf
DOI :
10.1109/ACC.2014.6858781
Filename :
6858781
Link To Document :
بازگشت