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Optimal Sensor Placement For Fuel Cell System Diagnosis using BILP Formulation

Author
Nejjari, F.; Sarrate, R.; Rosich, A.
Type of activity
Presentation of work at congresses
Name of edition
18th. Mediterranean Conference on Control and Automation
Date of publication
2010
Presentation's date
2010-06-25
Book of congress proceedings
Proceedings of the 18th. Mediterranean Conference on Control and Automation
First page
1296
Last page
1301
Publisher
IEEE Press. Institute of Electrical and Electronics Engineers
Repository
http://hdl.handle.net/2117/10859 Open in new window
Abstract
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
Citation
Nejjari, F.; Sarrate, R.; Rosich, A. Optimal sensor placement for fuel cell system diagnosis using BILP formulation. A: Mediterranean Conference on Control and Automation. "18th. Mediterranean Conference on Control and Automation". Marrakech: IEEE Press. Institute of Electrical and Electronics Engineers, 2010, p. 1296-1301.
Group of research
CS2AC-UPC - Supervision, Safety and Automatic Control
SAC - Advanced Control Systems
SIC - Smart Control Systems

Participants