Hostname: page-component-cd9895bd7-fscjk Total loading time: 0 Render date: 2024-12-22T10:19:11.043Z Has data issue: false hasContentIssue false

Flight dynamic coupling analysis of a bio-inspired elastic-wing aircraft

Published online by Cambridge University Press:  25 March 2018

S. Zhang
Affiliation:
School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China
Z. Wang
Affiliation:
School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China
Y. Wu*
Affiliation:
School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, China
Y. Yu
Affiliation:
Beijing Electro-Mechanical Engineering Institute, Beijing, China

Abstract

It is a challenge for small, fixed-wing aerial vehicles to maintain flight stability under gusts. Inspired by the geometric features and the structural dynamic characteristics of the gliding bird wing, an elastic wing with similar characteristics was designed and optimised for use as part of unmanned aerial vehicle. A flight dynamic model, which includes the coupling of the longitudinal flight modes and the aeroelastic modes of the flexible wing, was built to analyse the mechanisms of specific coupling for the structural characteristics of the wing design, and how these specific couplings affect flight dynamics. The results showed that the bio-inspired elastic wing effectively allows alleviation of the gust response of the prototype through coupling effects of the short period and the first aeroelastic mode, even with a considerable frequency gap. These effects become more significant when the airspeed becomes larger. The conclusions of this research can facilitate further development of bird-sized unmanned aerial vehicles to extend their applications and make these vehicles more adaptive for flight in complex atmospheric environments.

Type
Research Article
Copyright
Copyright © Royal Aeronautical Society 2018 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

1. Beard, R.W. and McLain, T.W. Small Unmanned Aircraft: Theory and Practice, 2012, Princeton University Press, Princeton, New Jersey.CrossRefGoogle Scholar
2. Watts, A.C. et al. Small unmanned aircraft systems for low-altitude aerial surveys, J Wildlife Management 2010, 74.7, pp 1614-1619.Google Scholar
3. Chabot, D. and Bird, D.M. Small unmanned aircraft: precise and convenient new tools for surveying wetlands, J Unmanned Vehicle Systems 2013, 1.01, pp 15-24.CrossRefGoogle Scholar
4. Videler, J.J. Avian Flight, 2006, Oxford University Press, Oxford, England, UK.Google Scholar
5. Carruthers, A.C., Thomas, A.L.R. and Taylor, G.K. Automatic aeroelastic devices in the wings of a steppe eagle Aquila nipalensis, J Experimental Biology 2007, 210.23, pp 4136-4149.Google Scholar
6. Prioria Robotics. Maveric UAS - Prioria Robotics, Gainesville, Florida. [online]. 2017, Available at: http://www.prioria.com/maveric [Accessed 8 May 2017].Google Scholar
7. Cantrell, J.T., LaCroix, B.W. and Ifju, P.G. Passive roll compensation on micro air vehicles with perimeter reinforced membrane wings, Int J Micro Air Vehicles 2013, 5.3, pp 163-177.Google Scholar
8. Stanford, B. et al. Static aeroelastic model validation of membrane micro air vehicle wings, AIAA J 2007, 45.12, pp 2828-2837.Google Scholar
9. Arce, M. et al. Passively compliant membranes in low aspect ratio wings, 51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition, 2013, Grapvine, Texas, USA.CrossRefGoogle Scholar
10. Drela, M. Integrated simulation model for preliminary aerodynamic, structural, and control-law design of aircraft. 40th Structures, Structural Dynamics, and Materials Conference and Exhibit. 1999.CrossRefGoogle Scholar
11. Babcock, J.T. and Lind, R.C. A frequency-domain interpretation of gust alleviation for an aeroservoelastic aircraft, AIAA Atmospheric Flight Mechanics (AFM) Conference, 2013, Boston, Massachusetts, USA.Google Scholar
12. Tseng, K. Nonlinear Green's Function Method for Transonic Potential Flow, Ph.D. Dissertation, 1983, Aeronautics and Astronautics Dept., Boston Univ., Cambridge, Massachusetts, US.Google Scholar
13. Hesse, H. and Palacios, R. Reduced-order aeroelastic models for dynamics of maneuvering flexible aircraft, AIAA J 2014, 52.8, pp 1717-1732.CrossRefGoogle Scholar
14. Schmidt, D.K. MATLAB-based flight-dynamics and flutter modeling of a flexible flying-wing research drone, J Aircraft 2015, 53.4, pp 1045-1055.Google Scholar
15. Schmidt, D.K. Stability augmentation and active flutter suppression of a flexible flying-wing drone, J Guidance, Control, and Dynamics 2015, 38.11, pp 409-422.Google Scholar
16. Zhang, S. et al. Generalized design and optimization of small UAV based on flight dynamic analysis, 2015 IEEE International Conference on Mechatronics and Automation (ICMA), 2015, IEEE, Beijing, China.Google Scholar
17. Vos, R., Gurdal, Z. and Abdalla, M. Mechanism for warp-controlled twist of a morphing wing, J Aircraft 2010, 47.2, pp 450-457.Google Scholar
18. Haghighat, S., Martins, J.R.R.A. and Liu, H.H.T. Aeroservoelastic design optimization of a flexible wing, J Aircraft, 2012, 49.2, 432-443.Google Scholar
19. Meirovitch, L. and Tuzcu, I. The lure of the mean axes, J Applied Mechanics 2007, 74.3, pp 497-504.Google Scholar
20. Melin, T. User's Guide and Reference Manual for Tornado, 2000, Royal Inst. of Technology (KTH), Stockholm, Sweden.Google Scholar
21. Schmidt, D.K. Modern Flight Dynamics, 2012, McGraw-Hill, New York, New York, US.Google Scholar
22. Richards, P.W. et al. Effect of inertial and constitutive properties on body-freedom flutter for flying wings, J Aircraft 2016, 53.3, pp 756-767.Google Scholar
23. Leitner, M. et al. Flight dynamics modeling of a body freedom flutter vehicle for multidisciplinary analyses, AIAA Modeling and Simulation Technologies Conference, 2015, Kissimmee, Florida.Google Scholar