DocumentCode
3018952
Title
Fuel cell diagnosis using Takagi-Sugeno observer approach
Author
Olteanu, S.C. ; Aitouche, A. ; Oueidat, Mohamad ; Jouni, A.
fYear
2012
fDate
28-29 Nov. 2012
Firstpage
1
Lastpage
7
Abstract
In this paper, a model based fault diagnosis is proposed as a way to diagnose sensor faults in fuel cell systems. The model-based fault detection is achieved by comparing the residuals to a specified threshold. The observer has to be designed to facilitate faults isolation. The approach for sensor fault isolation based on dedicated observer´s scheme is applied to isolate sensor pressure manifold faults of fuel cell system. The gains of observers are obtained by assuring certain conditions to the state estimation error by resolving the Linear Matrix Inequalities equations.
Keywords
fuel cells; linear matrix inequalities; observers; sensors; Takagi-Sugeno observer approach; fuel cell diagnosis; fuel cell system; linear matrix inequalities equations; model based fault diagnosis; sensor fault isolation; sensor faults diagnosis; sensor pressure manifold faults; state estimation error; Computational modeling; Fuel cells; Hydrogen; Manifolds; Mathematical model; Nonlinear systems; Observers; FDD; Fuel Cell; Fuzzy Nonlinear Observer; LMI(Linear Matrix Inequality); Takagi-Sugeno;
fLanguage
English
Publisher
ieee
Conference_Titel
Renewable Energies for Developing Countries (REDEC), 2012 International Conference on
Conference_Location
Beirut
Print_ISBN
978-1-4673-2440-3
Type
conf
DOI
10.1109/REDEC.2012.6416716
Filename
6416716
Link To Document