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Optimal sensor placement For Fuel Cell System diagnosis using BILP formulation

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3 Author(s)
Nejjari, F. ; Autom. Control Dept., Univ. Politec. de Catalunya, Terrassa, Spain ; Sarrate, R. ; Rosich, A.

This paper presents the application of a new methodology for Fault Detection and Isolation (FDI) to a Fuel Cell System. The work is devoted to find an optimal set of sensors for model-based FDI. The novelty is that binary integer linear programming (BILP) is used in the optimization formulation, leading to a reformulation of the detectability and isolability specifications as linear inequality constraints. The approach has been successfully applied to a Fuel Cell System.

Published in:

Control & Automation (MED), 2010 18th Mediterranean Conference on

Date of Conference:

23-25 June 2010

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