NDLI: A generalizing fuzzy model for shallow cavity flows under different mach regimes

Content Provider	IEEE Xplore Digital Library
Author	Efe, M.O. Debiasi, M. Yan, P. Ozbay, H. Samimy, M.
Copyright Year	2005
Description	Author affiliation: Dept. of Electr. & Electron. Eng., TOBB Univ. of Econ. & Technol., Ankara (Efe, M.O.)
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
Starting Page	67
Ending Page	72
File Size	463845
Page Count	6
File Format	PDF
ISBN	0780393546
DOI	10.1109/CCA.2005.1507102
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-08-28
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vehicle dynamics Navier-Stokes equations Skin Friction Vehicles Feedback control Inference mechanisms Fuzzy logic Humans Interpolation
Content Type	Text
Resource Type	Article

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