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A Neural Inverse Control of the PEM-FC Voltage by the Generalized Mapping Regressor (GMR (Contributo in atti di convegno)

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A Neural Inverse Control of the PEM-FC Voltage by the Generalized Mapping Regressor (GMR (Contributo in atti di convegno) (literal)

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G. Marsala, Bouquin, D., Pukrushpan, J.T., Pucci, M., Cirrincione, G., Vitale, G., Miraoui, A. (2008)
A Neural Inverse Control of the PEM-FC Voltage by the Generalized Mapping Regressor (GMR
in The forty-third Annual Meeting of the IEEE Industry Applications Society (IAS 2008) 5-9, Edmonton, Alberta, Canada, 5-9 oct 2008
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G. Marsala, Bouquin, D., Pukrushpan, J.T., Pucci, M., Cirrincione, G., Vitale, G., Miraoui, A. (literal)

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http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=4658942&contentType=Conference+Publications&matchBoolean%3Dtrue%26searchField%3DSearch_All%26queryText%3D%28%28%28p_Title%3Aneural%29+AND+p_Title%3Ainverse%29+AND+p_Authors%3Avitale+g.%29 (literal)

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This paper deals with the air management subsystem in fuel cell systems (FCS). It proposes to use a feedforward control action for improving a classical PI control of the FCS for preventing oxygen starvation by using the control scheme suggested by Kawato. This paper therefore, proposes the application of a recent neural network scheme, the GMR (Generalized Mapping Regressor Mapping) to implement a static feedforward controller, which is obtained with the inversion of the FCS model. The idea, for the air management subsystem, is to use a feedforward for optimising a classical PI control of the FCS for preventing oxygen starvation. This control system has been implemented both in numerical simulation and experimentally adopting a properly devised FCS in which the FC stack is realized by a buck-converter (emulator), that is by using a hardware-in-the-loop experimental rig. (literal)

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I.S.S.I.A.-C.N.R. (Institute on Intelligent Systems for the Automation), Palermo Italy Université de Technologie de Belfort-Montbéliard (UTBM), Belfort, France Department of Electrical Engineering, University of Picardie-Jules Verne, Amiens - France (literal)

Titolo

A Neural Inverse Control of the PEM-FC Voltage by the Generalized Mapping Regressor (GMR (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn

Abstract

This paper deals with the air management subsystem in fuel cell systems (FCS). It proposes to use a feedforward control action for improving a classical PI control of the FCS for preventing oxygen starvation by using the control scheme suggested by Kawato. This paper therefore, proposes the application of a recent neural network scheme, the GMR (Generalized Mapping Regressor Mapping) to implement a static feedforward controller, which is obtained with the inversion of the FCS model. The idea, for the air management subsystem, is to use a feedforward for optimising a classical PI control of the FCS for preventing oxygen starvation. This control system has been implemented both in numerical simulation and experimentally adopting a properly devised FCS in which the FC stack is realized by a buck-converter (emulator), that is by using a hardware-in-the-loop experimental rig. (literal)

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