Moving Horizon Estimation of Air Data Parameters for UAVs
Journal article, Peer reviewed
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Date
2019Metadata
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Original version
10.1109/TAES.2019.2946677Abstract
Local wind velocities, angle of attack and lift coefficients of a fixed-wing unmanned aerial vehicle (UAV) are estimated by fusing kinematic, aerodynamic and stochastic wind models with data from an inertial measurement unit, a global navigation satellite system receiver and a pitot-static tube in a Moving Horizon Estimator. Experimental validation with two different UAVs and two sensor sets of different quality, show promising results for both wind velocity and angle of attack estimation.