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dc.contributor.authorPérez Contreras, Eloi
dc.contributor.authorSerra, Maria
dc.contributor.authorOcampo-Martínez, Carlos
dc.contributor.authorLlorca Piqué, Jordi
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Química
dc.date.accessioned2017-02-23T12:35:03Z
dc.date.available2017-02-23T12:35:03Z
dc.date.issued2016
dc.identifier.citationPérez, E., Serra, M., Ocampo-Martinez, C.A., Llorca, J. Nonlinear model predictive control for hydrogen production in an ethanol steam reformer with membrane separation. A: IEEE Conference on Control Applications. "Proceedings of the 2016 IEEE Conference on Control Applications (CCA). Part of 2016 IEEE Multi-Conference on Systems and Control.". Buenos Aires: Institute of Electrical and Electronics Engineers (IEEE), 2016, p. 1155-1160.
dc.identifier.isbn978-1-5090-0754-7
dc.identifier.urihttp://hdl.handle.net/2117/101461
dc.description© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
dc.description.abstractThis paper presents a new Nonlinear Model Predictive Control (NMPC) design for an Ethanol Steam Reformer with Pd-Ag membrane separation stage. The reformer is used to produce pure hydrogen able to feed a Proton Exchange Membrane Fuel Cell. Mass and energy balances are used to obtain the nonlinear dynamic model of both the reforming and the separation stages. Constraints, system nonlinearities and flexible cost function are the main reasons to select an NMPC controller, which is tested against the ordinary differential equations as simulation model, and has an internal model based on the sample data technique.
dc.format.extent6 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Automàtica i control
dc.subject.lcshMathematical models
dc.subject.lcshPredictive control
dc.subject.otherdifferential equations
dc.subject.otherhydrogen production
dc.subject.othernonlinear dynamical systems
dc.subject.otherpredictive control
dc.subject.otherproton exchange membrane fuel cells
dc.subject.othersteam reformin
dc.subject.othernonlinear model predictive control
dc.subject.otherhydrogen production
dc.subject.otherEthanol steam reformer
dc.subject.othermembrane separation stage
dc.subject.otherproton exchange membrane fuel cell
dc.subject.othernonlinear dynamic model
dc.subject.otherNMPC controller
dc.subject.otherordinary differential equations
dc.titleNonlinear model predictive control for hydrogen production in an ethanol steam reformer with membrane separation
dc.typeConference report
dc.subject.lemacModels matemàtics
dc.subject.lemacControl predictiu
dc.contributor.groupUniversitat Politècnica de Catalunya. ACES - Control Avançat de Sistemes d'Energia
dc.contributor.groupUniversitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
dc.contributor.groupUniversitat Politècnica de Catalunya. NEMEN - Nanoenginyeria de materials aplicats a l'energia
dc.identifier.doi10.1109/CCA.2016.7587962
dc.rights.accessOpen Access
drac.iddocument19240697
dc.description.versionAccepted version
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO/1PE/DPI2014-58104-R
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO/1PE/DPI2013-48243-C2-1-R
upcommons.citation.authorPérez, E., Serra, M., Ocampo-Martinez, C.A., Llorca, J.
upcommons.citation.contributorIEEE Conference on Control Applications
upcommons.citation.pubplaceBuenos Aires
upcommons.citation.publishedtrue
upcommons.citation.publicationNameProceedings of the 2016 IEEE Conference on Control Applications (CCA). Part of 2016 IEEE Multi-Conference on Systems and Control.
upcommons.citation.startingPage1155
upcommons.citation.endingPage1160


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