A Neural Non-linear Predictive Control for PEM-FC

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 analys...

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Main Authors: M. Cirrincione, M. Pucci, G. Cirrincione, M. G. Simões
Format: Article
Language:English
Published: ESRGroups 2005-06-01
Series:Journal of Electrical Systems
Subjects:
Online Access:http://journal.esrgroups.org/jes/papers/1_2_1.pdf
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spelling doaj-f17cfb48f00c43659aca001aed1657b62020-11-24T23:30:37ZengESRGroupsJournal of Electrical Systems1112-52092005-06-0112118A Neural Non-linear Predictive Control for PEM-FCM. CirrincioneM. PucciG. CirrincioneM. G. SimõesThis 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.http://journal.esrgroups.org/jes/papers/1_2_1.pdfPEM-FCNon-linear ControlPredictive ControlNeural Networks.
collection DOAJ
language English
format Article
sources DOAJ
author M. Cirrincione
M. Pucci
G. Cirrincione
M. G. Simões
spellingShingle M. Cirrincione
M. Pucci
G. Cirrincione
M. G. Simões
A Neural Non-linear Predictive Control for PEM-FC
Journal of Electrical Systems
PEM-FC
Non-linear Control
Predictive Control
Neural Networks.
author_facet M. Cirrincione
M. Pucci
G. Cirrincione
M. G. Simões
author_sort M. Cirrincione
title A Neural Non-linear Predictive Control for PEM-FC
title_short A Neural Non-linear Predictive Control for PEM-FC
title_full A Neural Non-linear Predictive Control for PEM-FC
title_fullStr A Neural Non-linear Predictive Control for PEM-FC
title_full_unstemmed A Neural Non-linear Predictive Control for PEM-FC
title_sort neural non-linear predictive control for pem-fc
publisher ESRGroups
series Journal of Electrical Systems
issn 1112-5209
publishDate 2005-06-01
description 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.
topic PEM-FC
Non-linear Control
Predictive Control
Neural Networks.
url http://journal.esrgroups.org/jes/papers/1_2_1.pdf
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