A Study of Wind Shear Influences on the Aerodynamic Performances of a UAV Airfoil
Source abstract
Abstract
In order to study the flight strategies of birds in shear wind and realize the long-range flight of an unmanned aerial vehicle (UAV), the aerodynamic performances of a UAV’s airfoil under different shear wind are studied using numerical methods. The results are calculated using the RANS method in shear wind with a linear and logarithmic distribution of velocity. The results show that the slope of the lift curve, the maximum lift coefficient and the stall angle decrease when the velocity gradient is positive or increasing, conversely, they increase at a negative gradient compared to gradient-free wind fields. A positive gradient of wind significantly increased the maximum lift-drag ratio and the effective angle of attack. Compared with linear distributed shear wind with the same velocity at both the lowest and highest points of the flow field, logarithmic distribution decreases the slope of the lift curve, the maximum lift coefficient and the maximum lift-drag ratio and the effective angle of attack. Therefore, a shear wind with a positive gradient is beneficial to the increase of lift-drag ratio and more conducive to cruise flight, and a negative gradient is beneficial for increased lift and more conducive to take-off and landing of UAVs. The velocity distributions influence the aerodynamic performances of the airfoil which is related to the speed and gradient distribution of shear wind.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Aerospace and Aviation Technology · Fluid Dynamics and Turbulent Flows · Aerodynamics and Fluid Dynamics Research
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
China Aerodynamics Research and Development Center, High Speed Aerodynamics Institute, Mianyang 621000, China
References (26)
Show source-provided references
1. Atmospheric Flow Field Models Applicable for Aircraft Endurance Extension10.1016/j.paerosci.2013.03.001 ↗
2. Federal Aviation Administration (1986). Windshear Training Aid, Example Training Program.
3. Wind shear effect on aerodynamic performance and energy production of horizontal axis wind turbines with developing blade element momentum theory10.1016/j.jclepro.2019.02.073 ↗
4. Turbulence effects on the wake flow and power production of a horizontal-axis wind turbine10.1016/j.jweia.2013.11.001 ↗
5. Ground-based wind shear detection systems have become vital to safe operations
6. Wind Shear and Turbulence Effects on Rotor Fatigue and Load Control10.1115/1.1629752 ↗
7. White Effect of wind shear on airspeed during airplane landing approach10.2514/3.46150 ↗
8. Proctor, F.H. (1987). The Terminal Area Simulation System, Vol. I: Theoretical Formulation, NASA. NASA CR-4046, DOT/FAA/PM-86/50,I.
9. Low level wind model building and its influence on trajectory characteristic of projectiles
10. Three dimensional numerical analysis about influences of atmospheric wind field on ballistic trajectory
11. The Concept of Energy Height i Animal Locomotion: Separating Mechanics from Physiology10.1016/S0022-5193(03)00157-7 ↗
12. How Do Albatrosses Fly Around the World without Flapping their Wings?10.1016/j.pocean.2010.08.001 ↗
13. Minimum Shear Wind Strength Required for Dynamic Soaring of Albatrosses10.1111/j.1474-919x.2004.00295.x ↗
14. Optimal Patterns of Glider Dynamic Soaring10.1002/oca.739 ↗
15. Engineless Unmanned Aerial Vehicle Propulsion by Dynamic Soaring10.2514/1.43270 ↗
16. Utilization of Wind Shear for Powering Unmanned Aerial Vehicles in Surveillance Application: A Numerical Optimization Study10.1016/j.egypro.2016.11.202 ↗
17. Energy-Harvesting Mechanisms for UAV Flight by Dynamic Soaring10.1260/1756-8293.7.3.213 ↗
18. Silva, W., and Frew, E.W. (2016, January 4–8). Experimental Assessment of Online Dynamic Soaring Optimization for Small Unmanned Aircraft. Proceedings of the AIAA Infotech @ Aerospace, San Diego, CA, USA.10.2514/6.2016-0252 ↗
19. Efficient Trajectory Development for Small Unmanned Aircraft Dynamic Soaring Applications10.2514/1.G000543 ↗
20. Dubins Path-Based Dynamic Soaring Trajectory Planning and Tracking Control in a Gradient Wind Field10.1002/oca.2248 ↗
21. Gao, C., and Liu, H.H.T. (2013, January 19–22). Dynamic Soaring Surveillance in a Gradient Wind Field. Proceedings of the AIAA Guidance, Navigation, and Control Conference, Boston, MA, USA.10.2514/6.2013-4863 ↗
22. Lissaman, P. (2005, January 10–13). Wind energy extraction by birds and flight vehicles. Proceedings of the 43rd AIAA Aerospace Sciences Meeting and Exhibit, Reno, NV, USA.10.2514/6.2005-241 ↗
23. Bower, G.C. (2011). Boundary Layer Dynamic Soaring for Autonomous Aircraft Design and Validation, Stanford University.
24. Evaluation of Computational Fluid Dynamic Methods for Reactor Safety Analysis (ECORA)10.1016/j.nucengdes.2004.08.049 ↗
25. Bencatel, R., Sousa, J., Faied, M., and Girard, A. (2011, January 8–11). Shear wind estimation. Proceedings of the AIAA Guidance, Navigation, and Control Conference, Portland, OR, USA.10.2514/6.2011-6224 ↗
26. Dindar, M., and Kaynak, U. (1992, January 6–9). Effect of Turbulence Modeling on Dynamic Stall of A NACA0012 Airfoil. Proceedings of the Aerospace Sciences Meeting and Exhibit, Reno, NV, USA.10.2514/6.1992-27 ↗