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Títol:
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LPV model-based fault diagnosis using relative fault sensitivity signature approach in a PEM fuel cell
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Autor/a:
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Lira Ramírez, Salvador de; Puig Cayuela, Vicenç; Quevedo Casín, Joseba Jokin; Husar, Attila Peter
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Altres autors:
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Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial; Institut de Robòtica i Informàtica Industrial; Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control |
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Abstract:
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In this paper, a model-based fault diagnosis methodology for PEM fuel cell systems is presented. The methodology is based on computing residuals using a LPV observer. Fault detection is based on using adaptive threshold generated using an interval observer. Fault isolation is performed using the Euclidean distance between observed relative residuals and theoretical relative sensitivities. To illustrate the results, the commercial fuel cell Ballard Nexac is used in simulation where a set of typical fault scenarios have been considered. Finally, the diagnosis results corresponding to those fault scenarios are presented. It is remarkable that with this methodology it is possible to diagnose and isolate all the considered faults in contrast with other well known methodologies which use the classic binary signature matrix approach. |
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Matèries:
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-Àrees temàtiques de la UPC::Informàtica::Automàtica i control
-Fault location (Engineering)
-Proton exchange membrane fuel cells
-PEM fuel cells
-Errors de sistemes (Enginyeria) -- Localització |
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Drets:
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Tipus de document:
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Article - Versió presentada
Objecte de conferència |
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Publicat per:
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IEEE Press. Institute of Electrical and Electronics Engineers
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