Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6573
Title: Dynamical Modeling of the Unsteady Flow over a Flapping Wing by applying Proper Orthogonal Decomposition and System Identification to Particle Image Velocimetry Data
Authors: Durmaz, Oğuz
Karaca, H. Deniz
Özen, G. Deniz
Kasnakoğlu, Coşku
Kurtuluş, D. Funda
Keywords: [No Keywords]
Issue Date: 2011
Publisher: IEEE
Source: 50th IEEE Conference of Decision and Control (CDC)/European Control Conference (ECC) -- DEC 12-15, 2011 -- Orlando, FL
Series/Report no.: IEEE Conference on Decision and Control
Abstract: In 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.
URI: https://hdl.handle.net/20.500.11851/6573
ISBN: 978-1-61284-801-3
ISSN: 0743-1546
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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