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

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/6426

dc.contributor.author	Kunusch, Cristian
dc.contributor.author	Puleston, Paul
dc.contributor.author	Mayosky, M A
dc.contributor.author	Riera, Jordi (Riera Colomer)
dc.date	2009-01
dc.identifier.citation	Kunusch, C. [et al.]. Sliding Mode Strategy for PEM Fuel Cells Stacks Breathing Control Using a Super-Twisting Algorithm. "IEEE transactions on control systems technology", Gener 2009, vol. 17, núm. 1, p. 167-174.
dc.identifier.citation	1063-6536
dc.identifier.citation	10.1109/TCST.2008.922504
dc.identifier.uri	http://hdl.handle.net/2117/6426
dc.language.iso	eng
dc.relation	http://dx.doi.org/10.1109/TCST.2008.922504
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject	Àrees temàtiques de la UPC::Informàtica::Automàtica i control
dc.subject	Energy conversion
dc.subject	Fuel cells
dc.subject	Hydrogen
dc.subject	Nonlinear systems
dc.subject	Sliding mode control
dc.subject	Energia -- Conversió
dc.subject	Piles de combustible
dc.subject	Hidrogen
dc.subject	Sistemes no lineals
dc.subject	Control, Teoria de
dc.subject	Classificació INSPEC::Control theory
dc.title	Sliding Mode Strategy for PEM Fuel Cells Stacks Breathing Control Using a Super-Twisting Algorithm
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/article
dc.description.abstract	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.

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