NDLI: Air supply system of a PEM fuel cell model: Passivity and robust PI control

Content Provider	IEEE Xplore Digital Library
Author	Talj, Reine Ortega, Romeo Astolfi, Alessandro
Copyright Year	2011
Description	Author affiliation: Dept. of Electrical and Electronic Eng., Imperial College, London. SW7 2AZ, UK (Astolfi, Alessandro) \|\| Heudiasyc, CNRS UMR 6599, University of Technology of Compiègne, Centre de Recherches de Royallieu, 60205, France (Talj, Reine) \|\| Laboratoire des Signaux et Systèmes, L2S, CNRS UMR 8506, Supélec, Univ Paris Sud-P11, 91192 Gif sur Yvette, France (Ortega, Romeo)
Abstract	Fuel cells are widely regarded as potential future power sources, they convert the chemical energy of a gaseous fuel directly into electricity. In this paper, the study is concentrated on the control of the air subsystem that feeds the fuel cell cathode with oxygen—whose dynamics is described with a widely accepted nonlinear model. Due to the complexity of this model, the model-based controllers that have been proposed for this application are designed using its linear approximation at a given equilibrium point, which might lead to conservative stability margin estimates. On the other hand, practitioners propose the use of simple proportional or proportional-integral controllers around the compressor flow, which ensures good performance in most applications. Using some monotonicity characteristics of the system, in this paper we provide the theoretical justification to this scheme, proving that this output variable has the remarkable property that the linearization (around any admissible equilibrium) of the input-output map is strictly passive. Hence, the controllers used in applications yield (locally) asymptotically stable loops—for any desired equilibrium point and all values of the controller gains. Ensuring stability for all tuning gains overcomes the inherent conservativeness of linearized dynamics analysis, and assures robustness and high performance.
Starting Page	7765
Ending Page	7770
File Size	232431
Page Count	6
File Format	PDF
ISBN	9781612848006
ISSN	07431546
e-ISBN	9781612848013
e-ISBN	9781612847993
DOI	10.1109/CDC.2011.6160698
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuel cells Atmospheric modeling Mathematical model Equations Stability analysis Numerical models Robustness
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Modeling and Simulation

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