NDLI: Wind-field reconstruction using flight data

Content Provider	IEEE Xplore Digital Library
Author	Palanthandalam-Madapusi, H.J. Girard, A. Bernstein, D.S.
Copyright Year	2008
Description	Author affiliation: Dept. of Mech. & Aerosp. Eng., Syracuse Univ., Syracuse, NY (Palanthandalam-Madapusi, H.J.)
Abstract	Although guidance of all aircraft is affected by wind disturbances, micro-UAVs are especially susceptible. To estimate unknown wind disturbance, we consider two illustrative scenarios for planar flight. In the first scenario, we assume that measurements of the heading angle are available, while, in the second scenario, we assume that measurements of the heading angle are not available. Since the disturbance estimation problem is nonlinear, we develop an extension of the unscented Kalman filter that provides an estimate of the unknown wind disturbance. Furthermore, we show through simulations that, when the heading angle is not measured, a kinematic ambiguity is introduced. However, when the initial heading angle is known and the subsequent heading angle is not measured, this kinematic ambiguity is resolved and accurate estimates of the wind velocity are obtained.
Starting Page	1863
Ending Page	1868
File Size	334366
Page Count	6
File Format	PDF
ISBN	9781424420780
ISSN	07431619
DOI	10.1109/ACC.2008.4586763
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-06-11
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Image reconstruction Aircraft Kinematics Nonlinear systems Goniometers Velocity measurement Wind speed Vehicles Cameras Aerospace control
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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