Title | Estimation of Airflow Parameters for Tail-Sitter UAV through a 5-Hole Probe Based on an ANN |
Author | |
Corresponding Author | Wu, Yongliang |
Publication Years | 2023-01
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DOI | |
Source Title | |
ISSN | 1424-8220
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Volume | 23 |
Abstract | Fixed-wing vertical take-off and landing (VTOL) UAVs have received more and more attention in recent years, because they have the advantages of both fixed-wing UAVs and rotary-wing UAVs. To meet its large flight envelope, the VTOL UAV needs accurate measurement of airflow parameters, including angle of attack, sideslip angle and speed of incoming flow, in a larger range of angle of attack. However, the traditional devices for the measurement of airflow parameters are unsuitable for large-angle measurement. In addition, their performance is unsatisfactory when the UAV is at low speed. Therefore, for tail-sitter VTOL UAVs, we used a 5-hole pressure probe to measure the pressure of these holes and transformed the pressure data into the airflow parameters required in the flight process using an artificial neural network (ANN) method. Through a series of comparative experiments, we achieved a high-performance neural network. Through the processing and analysis of wind-tunnel-experiment data, we verified the feasibility of the method proposed in this paper, which can make more accurate estimates of airflow parameters within a certain range. © 2022 by the authors. |
Indexed By | |
Language | English
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SUSTech Authorship | First
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Funding Project | This research was funded by Xuanyun-SUSTech School of Innovation and Entrepreneurship Joint Laboratory of eVTOL Intelligent Hybrid Electric Propulsion Technology, (Grant number K2242Z055).
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WOS Accession No | WOS:000909982700001
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Publisher | |
EI Accession Number | 20230213373476
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EI Keywords | Aircraft landing
; Angle of attack
; Angle of attack indicators
; Fixed wings
; Flight envelopes
; Parameter estimation
; Probes
; Unmanned aerial vehicles (UAV)
; VTOL/STOL aircraft
; Wind tunnels
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ESI Classification Code | Aerodynamics, General:651.1
; Wind Tunnels:651.2
; Aircraft, General:652.1
; Aircraft Instruments and Equipment:652.3
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ESI Research Field | CHEMISTRY
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Data Source | EV Compendex
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Citation statistics |
Cited Times [WOS]:1
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Document Type | Journal Article |
Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/519645 |
Department | Department of Mechanics and Aerospace Engineering 工学院 创新创业学院 |
Affiliation | 1.Department of Mechanics and Aerospace Engineering, College of Engineering, Southern University of Science and Technology, Shenzhen; 518055, China 2.School of Aeronautics and Astronautics, Xihua University, Chengdu; 610039, China 3.College of Innovation and Entrepreneurship, Southern University of Science and Technology, Shenzhen; 518055, China 4.School of Physics and Mechatronics Engineering, Longyan University, Longyan; 364012, China |
First Author Affilication | Department of Mechanics and Aerospace Engineering; College of Engineering |
First Author's First Affilication | Department of Mechanics and Aerospace Engineering; College of Engineering |
Recommended Citation GB/T 7714 |
Li, Xiaoda,Wu, Yongliang,Shan, Xiaowen,et al. Estimation of Airflow Parameters for Tail-Sitter UAV through a 5-Hole Probe Based on an ANN[J]. SENSORS,2023,23.
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APA |
Li, Xiaoda,Wu, Yongliang,Shan, Xiaowen,Zhang, Haofan,&Chen, Yang.(2023).Estimation of Airflow Parameters for Tail-Sitter UAV through a 5-Hole Probe Based on an ANN.SENSORS,23.
|
MLA |
Li, Xiaoda,et al."Estimation of Airflow Parameters for Tail-Sitter UAV through a 5-Hole Probe Based on an ANN".SENSORS 23(2023).
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