Sliding Mode Strategy for PEM Fuel Cells Stacks Breathing Control Using a Super-Twisting Algorithm

A second-order sliding mode strategy to control the breathing subsystem of a polymer electrolyte membrane fuel cell stack for transportation applications is presented. The controller is developed from a design model of the plant derived from open literature, and well suited for the design of second-...

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Detalles Bibliográficos
Autores principales: Kunusch, Cristian, Puleston, Pablo Federico, Mayosky, Miguel Angel, Riera, Jordi
Formato: Articulo
Lenguaje:Inglés
Publicado: 2009
Materias:
Ingeniería
energy conversion
fuel cells (FCs)
hydrogen
nonlinear systems
sliding mode (SM) control
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/127277
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-127277
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ingeniería
energy conversion
fuel cells (FCs)
hydrogen
nonlinear systems
sliding mode (SM) control
spellingShingle Ingeniería
energy conversion
fuel cells (FCs)
hydrogen
nonlinear systems
sliding mode (SM) control
Kunusch, Cristian
Puleston, Pablo Federico
Mayosky, Miguel Angel
Riera, Jordi
Sliding Mode Strategy for PEM Fuel Cells Stacks Breathing Control Using a Super-Twisting Algorithm
topic_facet Ingeniería
energy conversion
fuel cells (FCs)
hydrogen
nonlinear systems
sliding mode (SM) control
description A second-order sliding mode strategy to control the breathing subsystem of a polymer electrolyte membrane fuel cell stack for transportation applications is presented. The controller is developed from a design model of the plant derived from open literature, and well suited for the design of second-order sliding mode strategies. Stability issues are solved using a super twisting algorithm. The resulting approach exhibits good dynamic characteristics, being robust to uncertainties and disturbances. Simulations results are provided, showing the feasibility of the approach.
format Articulo
Articulo
author Kunusch, Cristian
Puleston, Pablo Federico
Mayosky, Miguel Angel
Riera, Jordi
author_facet Kunusch, Cristian
Puleston, Pablo Federico
Mayosky, Miguel Angel
Riera, Jordi
author_sort Kunusch, Cristian
title Sliding Mode Strategy for PEM Fuel Cells Stacks Breathing Control Using a Super-Twisting Algorithm
title_short Sliding Mode Strategy for PEM Fuel Cells Stacks Breathing Control Using a Super-Twisting Algorithm
title_full Sliding Mode Strategy for PEM Fuel Cells Stacks Breathing Control Using a Super-Twisting Algorithm
title_fullStr Sliding Mode Strategy for PEM Fuel Cells Stacks Breathing Control Using a Super-Twisting Algorithm
title_full_unstemmed Sliding Mode Strategy for PEM Fuel Cells Stacks Breathing Control Using a Super-Twisting Algorithm
title_sort sliding mode strategy for pem fuel cells stacks breathing control using a super-twisting algorithm
publishDate 2009
url http://sedici.unlp.edu.ar/handle/10915/127277
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AT mayoskymiguelangel slidingmodestrategyforpemfuelcellsstacksbreathingcontrolusingasupertwistingalgorithm
AT rierajordi slidingmodestrategyforpemfuelcellsstacksbreathingcontrolusingasupertwistingalgorithm
bdutipo_str Repositorios
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