Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6084
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.
URI: https://hdl.handle.net/20.500.11851/6084
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

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