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dc.contributor.authorDurmaz, Oğuz-
dc.contributor.authorKaraca, H. Deniz-
dc.contributor.authorÖzen, G. Deniz-
dc.contributor.authorKasnakoğlu, Coşku-
dc.contributor.authorKurtuluş, D. Funda-
dc.identifier.citation50th IEEE Conference of Decision and Control (CDC)/European Control Conference (ECC) -- DEC 12-15, 2011 -- Orlando, FLen_US
dc.description.abstractIn this work a novel approach for the dynamical modeling of the unsteady flow over a pitching airfoil is considered. The technique is based on collecting instantaneous velocity field data of the flow using particle image velocimetry (PIV), applying image processing to these snapshots to locate the airfoil, filling the airfoil and its surface with proper velocity data, applying proper orthogonal decomposition (POD) to these post-processed images to compute the POD modes and time coefficients, and finally fitting a discrete time state space dynamical model to the trajectories of the time coefficients using subspace system identification (N4SID). The procedure is implemented using MATLAB for the data obtained from a NACA0012 airfoil, and the results show that the dynamical model obtained can represent the flow dynamics with acceptable accuracy.en_US
dc.description.sponsorshipHoneywell, MathWorks, United Technol Res Ctr, HYCON2, IEEE, Contrl Syst Soc (CSS), EUCAen_US
dc.description.sponsorshipScientific & Technological Research Council of Turkey (TUBITAK)Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [109E233]; European Commission (EC)European CommissionEuropean Commission Joint Research Centre [PIRG-2008-GA-239536]en_US
dc.description.sponsorshipThis work is supported by the Scientific & Technological Research Council of Turkey (TUBITAK) under project 109E233 and by the European Commission (EC) under project PIRG-2008-GA-239536.en_US
dc.relation.ispartof2011 50Th IEEE Conference On Decision And Control And European Control Conference (Cdc-Ecc)en_US
dc.subject[No Keywords]en_US
dc.titleDynamical Modeling of the Unsteady Flow over a Flapping Wing by applying Proper Orthogonal Decomposition and System Identification to Particle Image Velocimetry Dataen_US
dc.typeConference Objecten_US
dc.relation.ispartofseriesIEEE Conference on Decision and Controlen_US
dc.departmentFaculties, Faculty of Engineering, Department of Electrical and Electronics Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümütr_TR
dc.institutionauthorKasnakoğlu, Coşku-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.relation.conference50th IEEE Conference of Decision and Control (CDC)/European Control Conference (ECC)en_US
item.fulltextNo Fulltext-
item.openairetypeConference Object- Department of Electrical and Electronics Engineering-
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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