Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6715
Title: Feedback Flow Control Employing Local Dynamical Modelling With Wavelets
Authors: Erbil, Türker Nazmi
Kasnakoğlu, Coşku
Keywords: flow control
regional dynamic modelling
wavelet transform
Publisher: Taylor & Francis Inc
Abstract: In this paper, we utilize wavelet transform to obtain dynamical models describing the behaviour of fluid flow in a local spatial region of interest. First, snapshots of the flow are obtained from experiments or from computational fluid dynamics (CFD) simulations of the governing equations. A wavelet family and decomposition level is selected by assessing the reconstruction success under the resulting inverse transform. The flow is then expanded onto a set of basis vectors that are constructed from the wavelet function. The wavelet coefficients associated with the basis vectors capture the time variation of the flow within the spatial region covered by the support of the basis vectors. A dynamical model is established for these coefficients by using subspace identification methods. The approach developed is applied to a sample flow configuration on a square domain where the input affects the system through the boundary conditions. It is observed that there is good agreement between CFD simulation results and the predictions of the dynamical model. A controller is designed based on the dynamical model and is seen to be successful in regulating the velocity of a given point within the region of interest.
URI: https://doi.org/10.1080/13873950903187253
https://hdl.handle.net/20.500.11851/6715
ISSN: 1387-3954
1744-5051
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

Show full item record



CORE Recommender

SCOPUSTM   
Citations

3
checked on Dec 21, 2024

WEB OF SCIENCETM
Citations

2
checked on Oct 5, 2024

Page view(s)

78
checked on Dec 16, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.