Fuel cell diagnosis using Takagi-Sugeno observer approach

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 f...

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Bibliographic Details
Main Authors: Olteanu, S. C., Aitouche, A., Oueidat, M., Jouni, A.
Format: Conference Proceeding
Language:English
Subjects:
Computational modeling
FDD
Fuel Cell
Fuel cells
Fuzzy Nonlinear Observer
Hydrogen
LMI(Linear Matrix Inequality)
Manifolds
Mathematical model
Nonlinear systems
Observers
Takagi-Sugeno
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Description
Summary: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.
DOI:10.1109/REDEC.2012.6416716