Effects of the Wind Field on the Synthetic Measurement of the Aerodynamic Angles of an Aerial Vehicle

2020 ◽  
Author(s):  
Alberto Brandl ◽  
Manuela Battipede
Keyword(s):  
Wind Field ◽  
Aerodynamic Angles ◽  
Aerial Vehicle

Investigation of wind and sound field characteristics of multi-rotor unmanned aerial vehicle

2020 ◽  
Vol 51 (7-9) ◽  
pp. 158-163
Author(s):  
Huiru Cao ◽  
Haixiu Cheng ◽  
Wenjian Zhu
Keyword(s):  
Linear Relationship ◽  
Unmanned Aerial Vehicle ◽  
Wind Field ◽  
Sound Field ◽  
Sound Intensity ◽  
Experimental Platform ◽  
Distance Range ◽  
Aerial Vehicle ◽  
Set Up ◽  
Wind Intensity

Wind field and sound field characteristics are the key indexes for unmanned aerial vehicle. Therefore, in this study, the wind field and sound field characteristics of a quad-rotor unmanned aerial vehicle are investigated. First, the experimental platform was set up based on quad-rotor unmanned aerial vehicle. Second, the experiments were performed on the wind field and the sound field characteristics of the unmanned aerial vehicle at different working currents. Then, the experiment results were analysed. Meanwhile, the experimental results showed that the working current has a large impact on the wind field and the wind intensity increases as working current increases; as the working current increases, the sound field is enhanced and a linear relationship exists; within a certain distance range of the unmanned aerial vehicle, as distance increases, sound intensity dramatically decreases. The presented methods and results can not only be used to evaluate the performance of the electric multi-rotor unmanned aerial vehicle but also provide references for the further improvement of the performance of the unmanned aerial vehicle.

scholarly journals Stability Parameter Range of a Tethered Unmanned Aerial Vehicle

2022 ◽  
Vol 2022 ◽  
pp. 1-13
Author(s):  
Wei He ◽  
Suxia Zhang
Keyword(s):  
Elastic Modulus ◽  
Unmanned Aerial Vehicle ◽  
Wind Field ◽  
Environmental Parameters ◽  
Stability Parameter ◽  
Parameter Range ◽  
Vibration Velocity ◽  
Factors Affecting ◽  
Aerial Vehicle ◽  
The Stability

In this study, the stability parameter range of a tethered quadrotor unmanned aerial vehicle (UAV) under the action of the transient wind field is numerically analyzed, which can provide a theoretical basis for the design and application of such systems. Three factors affecting the stability of tethered UAV system are determined, namely, cable tension, cable elongation, and UAV vibration velocity, and the corresponding judgment criteria are obtained. Specifically, the priority of the three criteria sequentially decreases. According to these criteria, the stability parameter range of the tethered UAV is examined under the cable parameters such as length, diameter, and elastic modulus and the environmental parameters such as the amplitude and period of the wind field. The results show that for designing the tethered UAV structure, by reducing the length of the tethered cable and increasing its diameter and elastic modulus, the working stability of tethered UAV system can be improved.

Trajectory optimization of unmanned aerial vehicle in dynamic soaring

2016 ◽  
Vol 231 (10) ◽  
pp. 1779-1793 ◽  
Author(s):  
Bing-Jie Zhu ◽  
Zhong-Xi Hou ◽  
Hua-Jiang Ouyang
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Wind Field ◽  
Trajectory Optimization ◽  
Research Work ◽  
Flight Path ◽  
Dynamic Soaring ◽  
Gradient Wind ◽  
Flight Path Angle ◽  
Aerial Vehicle ◽  
Heading Angle

An aircraft can extract energy from a gradient wind field by dynamic soaring. The paper presents trajectory optimization of an unmanned aerial vehicle for dynamic soaring by numerical analysis and validates the theoretical work through flight test. The collocation approach is used to convert the trajectory optimization problem into parameters optimization. The control and state parameters include lift coefficient, bank angle, positions, flight path angle, heading angle, and airspeed, which are obtained from the parameter optimization software. To validate the results of numerical simulation, the dynamic soaring experiment is also performed and experimental data are analyzed. This research work shows that the unmanned aerial vehicle can gain enough flight energy from the gradient wind field by following an optimal dynamic soaring trajectory. Meanwhile, the variation of flight path angle, heading angle, and airspeed has a significant influence on the energy transform. The solution can provide theoretical guide to unmanned aerial vehicles for extracting maximum energy from gradient wind fields.

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