Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/88250
| 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. |
| Appears in Collections: | Journal/Magazine Article |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 4Double_Clo_Final(8386).pdf | Pre-Published version | 13.79 MB | Adobe PDF | View/Open |
Access
View full-text via PolyU eLinks 
Page views
108
Last Week
0
0
Last month
Citations as of May 28, 2023
Downloads
57
Citations as of May 28, 2023
SCOPUSTM
Citations
11
Citations as of May 25, 2023
WEB OF SCIENCETM
Citations
9
Citations as of May 25, 2023
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.