A Neural Non-linear Predictive Control for PEM-FC (Articolo in rivista)

Type
Label
  • A Neural Non-linear Predictive Control for PEM-FC (Articolo in rivista) (literal)
Anno
  • 2005-01-01T00:00:00+01:00 (literal)
Alternative label
  • M. Cirrincione, G. Cirrincione, M. Pucci, M. Simoes (2005)
    A Neural Non-linear Predictive Control for PEM-FC
    in Journal of Electric Systems
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • M. Cirrincione, G. Cirrincione, M. Pucci, M. Simoes (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://journal.esrgroups.org/jes/ (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 1 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • ISSIA-CNR University of Amiens-France Colorado School of mines-USA (literal)
Titolo
  • A Neural Non-linear Predictive Control for PEM-FC (literal)
Abstract
  • This paper deals with the application of non-linear predictive control with neural networks to Proton Exchange Membrane Fuel Cells (PEM-FC). The control objective is to regulate the cell voltage, acting on the hydrogen pressure, trying to reduce the variation of the input control variable. An analysis of the non-linearities of the fuel cell stack has been carried out, making use of a suitable fuel cell model. The non-linear predictive control has been implemented by several neural networks (multi value perceptrons), after dividing the operating domain into three areas according to the cell current value (low loads, quasi-linear zone and high loads). Simulation results have been provided and discussed, showing the goodness of the proposed non-linear control technique in reducing the variations of hydrogen pressure. (literal)
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