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Title: Model-aided wind estimation method for a tail-sitter aircraft
Authors: Sun, J 
Li, B 
Wen, C 
Chen, C
Issue Date: Apr-2020
Source: IEEE transactions on aerospace and electronic systems, Apr. 2020, v. 56 , no. 2, p. 1262-1278
Abstract: This paper presents a wind estimation method for a dual-rotor tail-sitter unmanned aerial vehicle with all flight phases. The large flightenvelope and the slipstream generated by the propellers introduceextra challenges to estimating the wind field during flight for dual-rotor tail-sitter aircraft. In this method, a synthetic wind measurementis proposed based on a low-fidelity aircraft model and operated as avirtual sensor. This synthetic wind measurement and the data from thepitot tube are fused with an extended Kalman filter. The simulationand experimental results of the developed estimation method showa good estimation of the wind speed and direction in the hoveringphase, transition, and cruising phases. The proposed wind estimationmethod was also tested in the hovering phase using the aerodynamiccoefficients of NACA 0012 airfoil and a flat plate instead of the vehicle’smodel to provide a compromise solution for vehicles with no preciseaerodynamic model.
Keywords: Air-data systems
Tail-sitter
Unmanned aerial vehicle (UAV)
Vertical takeoff and landing (VTOL)
Wind estimation
Publisher: Institute of Electrical and Electronics Engineers
Journal: IEEE transactions on aerospace and electronic systems 
ISSN: 0018-9251
DOI: 10.1109/TAES.2019.2929379
Rights: © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
The following publication J. Sun, B. Li, C. Wen and C. Chen, "Model-Aided Wind Estimation Method for a Tail-Sitter Aircraft," in IEEE Transactions on Aerospace and Electronic Systems, vol. 56, no. 2, pp. 1262-1278, April 2020 is available at https://dx.doi.org/10.1109/TAES.2019.2929379.
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