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
|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
Show full item record
checked on Dec 26, 2022
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.