| dc.contributor.author | Feroldi, Diego Hernán |
| dc.contributor.author | Gómez, Juan Carlos |
| dc.contributor.author | Roda Serrat, Vicente |
| dc.contributor.other | Institut de Robòtica i Informàtica Industrial |
| dc.date.accessioned | 2017-11-13T17:22:39Z |
| dc.date.available | 2017-11-13T17:22:39Z |
| dc.date.issued | 2016 |
| dc.identifier.citation | Feroldi, D., Gómez, J., Roda, V. Identification of PEM fuel cells based on support vector regression and orthonormal bases. A: IEEE International Symposium on Intelligent Control. "Intelligent Control (ISIC), 2016 IEEE International Symposium on". Buenos Aires: 2016, p. 173-178. |
| dc.identifier.uri | http://hdl.handle.net/2117/110513 |
| dc.description | © 20xx 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.abstract | Polymer Electrolyte Membrane Fuel Cells (PEMFC) are efficient devices that convert the chemical energy of the reactants in electricity. In this type of fuel cells, the performance of the air supply system is fundamental to improve their efficiency. An accurate mathematical model representing the air filling dynamics for a wide range of operating points is then necessary for control design and analysis. In this paper, a new Wiener model identification method based on Support Vector (SV) Regression and orthonormal bases is introduced and used to estimate a nonlinear dynamical model for the air supply system of a laboratory PEMFC from experimental data. The method is experimentally validated using a PEMFC system based on a ZB 8-cell stack with Nafion 115 membrane electrode assemblies |
| dc.format.extent | 6 p. |
| dc.language.iso | eng |
| dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
| dc.subject | Àrees temàtiques de la UPC::Informàtica::Automàtica i control |
| dc.subject.other | power system control |
| dc.subject.other | Atmospheric modeling |
| dc.subject.other | Mathematical model |
| dc.subject.other | Fuel cells |
| dc.subject.other | Data models |
| dc.subject.other | Support vector machines |
| dc.subject.other | Linear systems |
| dc.subject.other | Kernel |
| dc.title | Identification of PEM fuel cells based on support vector regression and orthonormal bases |
| dc.type | Conference report |
| dc.contributor.group | Universitat Politècnica de Catalunya. ACES - Control Avançat de Sistemes d'Energia |
| dc.identifier.doi | 10.1109/ISIC.2016.7579981 |
| dc.description.peerreviewed | Peer Reviewed |
| dc.subject.inspec | Classificació INSPEC::Automation::Power system control |
| dc.relation.publisherversion | http://ieeexplore.ieee.org/document/7579981/ |
| dc.rights.access | Open Access |
| local.identifier.drac | 21586062 |
| dc.description.version | Postprint (author's final draft) |
| dc.relation.projectid | info:eu-repo/grantAgreement/MINECO//DPI2015-69286-C3-2-R/ES/ESTIMACION, DIAGNOSIS Y CONTROL PARA LA MEJORA DE LA EFICIENCIA Y LA VIDA UTIL DE LAS PILAS DE COMBUSTIBLE DE TIPO PEM/ |
| local.citation.author | Feroldi, D.; Gómez, J.; Roda, V. |
| local.citation.contributor | IEEE International Symposium on Intelligent Control |
| local.citation.pubplace | Buenos Aires |
| local.citation.publicationName | Intelligent Control (ISIC), 2016 IEEE International Symposium on |
| local.citation.startingPage | 173 |
| local.citation.endingPage | 178 |
