DocumentCode
2003997
Title
Comparative Study of State Estimation of Fuel Cell Hybrid System Using UKF and EKF
Author
Kandepu, Rambabu ; Huang, Biao ; Imsland, Lars ; Foss, Bjarne
Author_Institution
Norwegian Univ. of Sci. & Technol., Trondheim
fYear
2007
fDate
May 30 2007-June 1 2007
Firstpage
1162
Lastpage
1167
Abstract
The principle of state estimation of a dynamic system using Unscented Kalman Filter (UKF) and Extended Kalman Filter (EKF) is briefly described. Two nonlinear examples are considered to compare the state estimation using UKF and EKF. A Solid Oxide Fuel Cell (SOFC) combined with Gas Turbine (GT) hybrid system is described and system level modeling of the hybrid system is discussed. The state estimation using UKF and EKF is applied to the fuel cell hybrid system.
Keywords
Kalman filters; gas turbines; solid oxide fuel cells; state estimation; extended Kalman Filter; fuel cell hybrid system; gas turbine hybrid system; solid oxide fuel cell; state estimation; system level modeling; unscented Kalman filter; Control systems; Cybernetics; Fuel cells; Linear approximation; Monitoring; Natural gas; Solids; State estimation; Temperature; Turbines;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Automation, 2007. ICCA 2007. IEEE International Conference on
Conference_Location
Guangzhou
Print_ISBN
978-1-4244-0817-7
Electronic_ISBN
978-1-4244-0818-4
Type
conf
DOI
10.1109/ICCA.2007.4376543
Filename
4376543
Link To Document