Please use this identifier to cite or link to this item:
Title: A generalizing fuzzy model for shallow cavity flows under different Mach regimes
Authors: Efe, Mehmet Önder
Debiasi, M
Yan, Peng
Özbay Hitay
Samimy, M
Keywords: [No Keywords]
Issue Date: 2005
Publisher: IEEE
Source: IEEE International Conference on Control Applications -- AUG 28-31, 2005 -- Toronto, CANADA
Series/Report no.: IEEE International Conference on Control Applications
Abstract: Modeling of a flow passing over a shallow cavity is an interesting problem as the internal dynamics are inextricably intertwined due to the Navier-Stokes equations. The origin of the cavity flow identification problem is the desire for reducing the skin friction in aerial vehicles through an active control effort. As there is not a well developed closed-loop scheme, towards the goal of feedback control, the first step becomes to develop a suitable dynamic model imitating the behavior of the plant under certain operating conditions. For this purpose, we present an approach exploiting the fuzzy inference mechanisms. Fuzzy logic is a practical tool for expressing human expertise in the form of if-then statements. The idea in the fuzzy identification is to perform local observations from the flow field and to find a fuzzy interpolation scheme over the sensory information. The results we have observed indicate that a classical non-adaptive fuzzy model is able to perform one step ahead prediction of the critically essential behavior observed at the cavity floor.
ISBN: 0-7803-9353-8
ISSN: 1085-1992
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Show full item record

CORE Recommender

Page view(s)

checked on Dec 26, 2022

Google ScholarTM



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