A neural non-linear predictive control for pem-fc.
Joint Authors
Cirrincione, G.
Pucci, M.
Cirrincione, M.
Simoes, M. G.
Source
Issue
Vol. 1, Issue 2 (30 Jun. 2005), pp.1-18, 18 p.
Publisher
Publication Date
2005-06-30
Country of Publication
Algeria
No. of Pages
18
Main Subjects
Topics
Abstract EN
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 perceptions), 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.
American Psychological Association (APA)
Cirrincione, M.& Pucci, M.& Cirrincione, G.& Simoes, M. G.. 2005. A neural non-linear predictive control for pem-fc.. Journal of Electrical Systems،Vol. 1, no. 2, pp.1-18.
https://search.emarefa.net/detail/BIM-174602
Modern Language Association (MLA)
Cirrincione, M.…[et al.]. A neural non-linear predictive control for pem-fc.. Journal of Electrical Systems Vol. 1, no. 2 (Jun. 2005), pp.1-18.
https://search.emarefa.net/detail/BIM-174602
American Medical Association (AMA)
Cirrincione, M.& Pucci, M.& Cirrincione, G.& Simoes, M. G.. A neural non-linear predictive control for pem-fc.. Journal of Electrical Systems. 2005. Vol. 1, no. 2, pp.1-18.
https://search.emarefa.net/detail/BIM-174602
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 17-18
Record ID
BIM-174602