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dc.rights.licenseopenen_US
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorHAJJEM, Mohamed
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorVICTOR, Stephane
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorLANUSSE, Patrick
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorMELCHIOR, Pierre
IDREF: 124712770
dc.contributor.authorTHOMAS, Lara
dc.date.accessioned2023-04-25T08:14:26Z
dc.date.available2023-04-25T08:14:26Z
dc.date.issued2022-01-01
dc.identifier.issn2405-8963en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/173187
dc.description.abstractEnThis paper proposes a method to design a wind turbulence model based on real wind spectral characteristics. It uses models based on Cole-Cole fractional functions to approximate the wind turbulence power spectral density. Von Kármán model is the most commonly used model but originally designed for aircraft in high altitude. Therefore, it is not suitable for systems operating at low altitude, hence the need for more accurate models in these specific conditions. Shaping filters issued from the fractional models are employed to generate realistic random wind speed turbulence from a random white noise input. Then, a grey box model is proposed from physical parameters such as the classic von Kármán ones (mean speed, turbulence intensity and length scale).
dc.language.isoENen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectTurbulence wind speed
dc.subjectSpectral analysis
dc.subjectFractional model
dc.subjectParameter estimation
dc.subjectShaping filter
dc.subjectReal-time simulation
dc.title.enFractional modeling of wind speed turbulence
dc.typeArticle de revueen_US
dc.identifier.doi10.1016/j.ifacol.2022.11.309en_US
dc.subject.halSciences de l'ingénieur [physics]en_US
bordeaux.journalIFAC-PapersOnLineen_US
bordeaux.page66-71en_US
bordeaux.volume55en_US
bordeaux.hal.laboratoriesIMS : Laboratoire de l'Intégration du Matériau au Système - UMR 5218en_US
bordeaux.issue34en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux INPen_US
bordeaux.institutionCNRSen_US
bordeaux.teamAUTOMATIQUE-CRONEen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.identifierhal-04080631
hal.version1
hal.date.transferred2023-04-25T08:14:28Z
hal.exporttrue
dc.rights.ccCC BY-NC-NDen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=IFAC-PapersOnLine&rft.date=2022-01-01&rft.volume=55&rft.issue=34&rft.spage=66-71&rft.epage=66-71&rft.eissn=2405-8963&rft.issn=2405-8963&rft.au=HAJJEM,%20Mohamed&VICTOR,%20Stephane&LANUSSE,%20Patrick&MELCHIOR,%20Pierre&THOMAS,%20Lara&rft.genre=article


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