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dc.contributor.authorXing, Yashan
dc.contributor.authorJing, Na
dc.contributor.authorCosta Castelló, Ramon
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Automàtica, Robòtica i Visió
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2020-02-26T10:24:46Z
dc.date.available2020-02-26T10:24:46Z
dc.date.issued2019
dc.identifier.citationXing, Y.; Jing, N.; Costa-Castelló, R. Adaptive online parameter estimation algorithm of PEM fuel cells. A: European Control Conference. "Proceedings of the 18th European Control Conference (ECC): Naples, Italy: June 25-28, 2019". Institute of Electrical and Electronics Engineers (IEEE), 2019, p. 441-446.
dc.identifier.isbn978-1-728113-14-2
dc.identifier.urihttp://hdl.handle.net/2117/178683
dc.description.abstractSince most of fuel cell models are generally nonlinearly parameterized functions, existing modeling techniques rely on the optimization approaches and impose heavy computational costs. In this paper, an adaptive online parameter estimation approach for PEM fuel cells is developed in order to directly estimate unknown parameters. The general framework of this approach is that the electrochemical model is first reformulated using Taylor series expansion. Then, one recently proposed adaptive parameter estimation method is further tailored to estimate the unknown parameters. In this method, the adaptive law is directly driven by the parameter estimation errors without using any predictors or observers. Moreover, parameter estimation errors can be guaranteed to achieve exponential convergence. Besides, the online validation of regressor matrix invertibility are avoided such that computation costs can be effectively reduced. Finally, comparative simulation results demonstrate that the proposed approach can achieve better performance than least square algorithm for estimating unknown parameters of fuel cells.
dc.format.extent6 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Automàtica i control
dc.subject.lcshPEM fuel cells
dc.subject.lcshPredictive control
dc.subject.otherPEM Fuel Cell
dc.subject.otherNonlinearly parameterized system
dc.subject.otherOnline parameter estimation.
dc.titleAdaptive online parameter estimation algorithm of PEM fuel cells
dc.typeConference report
dc.subject.lemacPiles de combustible de membrana d'intercanvi de protons
dc.subject.lemacControl predictiu
dc.contributor.groupUniversitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
dc.identifier.doi10.23919/ECC.2019.8795875
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/8795875
dc.rights.accessOpen Access
local.identifier.drac26580670
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO/1PE/DPI2015-69286-C3-2R
local.citation.authorXing, Y.; Jing, N.; Costa-Castelló, R.
local.citation.contributorEuropean Control Conference
local.citation.publicationNameProceedings of the 18th European Control Conference (ECC): Naples, Italy: June 25-28, 2019
local.citation.startingPage441
local.citation.endingPage446


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