Augmented Kalman filtering for a superheated steam header system

This paper examines the distributed parameter model of a main steam header system and simplifies it to retain only the significant dynamics of the pipe wall temperature and quasisteady-state behavior of the steam in the headers. An augmented linear optimal filter is developed for estimating the stea...

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Bibliographic Details
Published in:IEEE transactions on control systems technology 2003-09, Vol.11 (5), p.773-781
Main Authors: Boje, E., Eitelberg, E.
Format: Article
Language:English
Subjects:
Africa
Boilers
Difference equations
Dynamical systems
Dynamics
Filtering
Gaussian processes
Headers
Kalman filters
Nonlinear filters
Outlets
Pipe
Power generation
State estimation
Steam electric power generation
Superheaters
Temperature sensors
Wall temperature
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Summary:This paper examines the distributed parameter model of a main steam header system and simplifies it to retain only the significant dynamics of the pipe wall temperature and quasisteady-state behavior of the steam in the headers. An augmented linear optimal filter is developed for estimating the steam and pipe wall temperatures along the interconnected main steam headers, between the superheater outlet and the turbine. The filter algorithm is illustrated using data from a power plant.
ISSN:1063-6536
1558-0865
DOI:10.1109/TCST.2003.816416