Advances in HOSM Control Design and Implementation for PEM Fuel Cell Systems

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/6559

dc.contributor	Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.contributor	Universitat Politècnica de Catalunya. ACES - Control Avançat de Sistemes d'Energia
dc.contributor.author	Kunusch, Cristian
dc.contributor.author	Puleston, Paul
dc.contributor.author	Mayosky, Miguel Angel
dc.contributor.author	Serra, Maria
dc.date	2009
dc.identifier.citation	Kunusch, C. [et al.]. Advances in HOSM Control Design and Implementation for PEM Fuel Cell Systems. A: IFAC International Conference on Methods and Models in Automation and Robotics. "14th IFAC International Conference on Methods and Models in Automation and Robotics, 2009". Miedzyzdroje: 2009, p. 1000-1007.
dc.identifier.uri	http://hdl.handle.net/2117/6559
dc.language.iso	eng
dc.relation	http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=4742©ownerid=2
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	Fuel cells--Congresses
dc.subject	Nonlinear control theory
dc.subject	Piles de combustible -- Congressos
dc.subject	Control no lineal, Teoria de
dc.subject	Classificació INSPEC::Control theory
dc.title	Advances in HOSM Control Design and Implementation for PEM Fuel Cell Systems
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	A second order sliding mode strategy to control the air supply and oxygen stoichiometry of a fuel cell based generation system is presented. The control design is accomplished from a complete model of a experimental plant that was previously developed by the authors and specially suited for nonlinear control issues. The resulting controller endows the system with enhanced dynamic characteristics and robustness to model uncertainties and external disturbances. Simulations and experimental results are provided, showing the feasibility and reliability of the approach.

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