Onboard Wind Velocity Estimation Comparison for Unmanned Aircraft Systems

This paper presents a novel wind estimation approach, which is compared with existing ideas utilizing different combinations of common aircraft sensors to estimate the wind velocity in real time at the location of an aircraft. These different techniques were evaluated using simulation data as well a...

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Bibliographic Details
Published in:IEEE transactions on aerospace and electronic systems 2017-02, Vol.53 (1), p.55-66
Main Authors: Rhudy, Matthew B., Yu Gu, Gross, Jason N., Haiyang Chao
Format: Article
Language:English
Subjects:
Aircraft
Atmospheric modeling
Estimation
Filtration
Flight tests
Global Positioning System
Ground stations
Mathematical model
Nonlinear Kalman filtering
unmanned aerial vehicle
Unmanned aerial vehicles
Unmanned aircraft
unmanned aircraft systems
wind estimation
Wind speed
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Description
Summary:This paper presents a novel wind estimation approach, which is compared with existing ideas utilizing different combinations of common aircraft sensors to estimate the wind velocity in real time at the location of an aircraft. These different techniques were evaluated using simulation data as well as two experimental unmanned aircraft flight tests using validation data from a ground weather station. Significant performance advantage was shown of the new filtering technique over the existing approaches.
ISSN:0018-9251
1557-9603
DOI:10.1109/TAES.2017.2649218