Aerodynamic Model-Aided Estimation of Attitude, 3D wind, airspeed, AOA, and SSA for High-Altitude Long Endurance UAV
This article proposes a novel dynamic model-aided navigation filter to estimate the safety-critical states of an aircraft including the effect of wind. Aerodynamic coefficients and control signals are used to predict the angular rates. Experimental flight results of a high-altitude long-endurance unmanned aerial vehicle (UAV) demonstrated improvement in attitude estimation compared to a model-based navigation algorithm that does not consider wind, as well as accurate attitude estimation without using gyroscope signals, demonstrating its effectiveness for analytical redundancy.
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|Work Title||Aerodynamic Model-Aided Estimation of Attitude, 3D wind, airspeed, AOA, and SSA for High-Altitude Long Endurance UAV|
|License||In Copyright (Rights Reserved)|
|Publication Date||December 2020|
|Publisher Identifier (DOI)||
|Deposited||September 09, 2021|
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