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
fDate :
May 30 2007-June 1 2007
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;
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
DOI :
10.1109/ICCA.2007.4376543
