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Vector field path following of a full-wing solar-powered Unmanned Aerial Vehicle (UAV) landing based on Dubins path: a lesson from multiple landing failures

Published online by Cambridge University Press:  13 April 2021

A. Guo
Affiliation:
School of Aeronautics Northwestern Polytechnical UniversityXi’an710072China
Z. Zhou*
Affiliation:
School of Aeronautics Northwestern Polytechnical UniversityXi’an710072China
R. Wang
Affiliation:
School of Aeronautics Northwestern Polytechnical UniversityXi’an710072China
X. Zhao
Affiliation:
School of Aeronautics Northwestern Polytechnical UniversityXi’an710072China
X. Zhu
Affiliation:
Science and Technology on UAV Laboratory Northwestern Polytechnical UniversityXi’an710072China

Abstract

The full-wing solar-powered UAV has a large aspect ratio, special configuration, and excellent aerodynamic performance. This UAV converts solar energy into electrical energy for level flight and storage to improve endurance performance. The UAV only uses a differential throttle for lateral control, and the insufficient control capability during crosswind landing results in a large lateral distance bias and leads to multiple landing failures. This paper analyzes 11 landing failures and finds that a large lateral distance bias at the beginning of the approach and the coupling of base and differential throttle control is the main reason for multiple landing failures. To improve the landing performance, a heading angle-based vector field (VF) method is applied to the straight-line and orbit paths following and two novel 3D Dubins landing paths are proposed to reduce the initial lateral control bias. The results show that the straight-line path simulation exhibits similar phenomenon with the practical failure; the single helical path has the highest lateral control accuracy; the left-arc to left-arc (L-L) path avoids the saturation of the differential throttle; and both paths effectively improve the probability of successful landing.

Type
Research Article
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of Royal Aeronautical Society

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References

REFERENCES

Zhu, X.F., Guo, Z. and Hou, Z.X. Solar-powered airplanes: a historical perspective and future challenges. Prog Aerosp Sci, 2014, 71, pp 3653.CrossRefGoogle Scholar
Oettershagen, P., Melzer, A. and Mantel, T. Design of small hand-launched solar-powered UAVs: from concept study to a multi-day world endurance record flight, J Field Robotics, 2017, 34, pp 13521377.CrossRefGoogle Scholar
Guo, A., Zhou, Z., Zhu, X.P. and Zhao, X. Automatic control and model verification for a small aileron-less hand-launched solar-powered unmanned aerial vehicle, Electronics, 2020, 9, p 364.10.3390/electronics9020364CrossRefGoogle Scholar
Kyosic, S., Hoyon, H. and Jon, A. Mission analysis of solar UAV for high-altitude long-endurance flight, J Aerosp Eng, 2018, 31, p 04018010.Google Scholar
Wu, M.J., Shi, Z.W. and Xiao, T.H. Energy optimization and investigation for Z-shaped sun-tracking morphing-wing solar-powered UAV, Aerosp Sci Technol, 2019, 91, pp 111.10.1016/j.ast.2019.05.013CrossRefGoogle Scholar
Ma, Z.Y., Zhu, X.P. and Zhou, Z. On-ground lateral direction control for an unswept fly-wing UAV, Aeronaut J, 2019, 123, pp 416432.10.1017/aer.2018.167CrossRefGoogle Scholar
Colella, N. and Wenneker, G. Pathfinder: developing a solar rechargeable aircraft, IEEE Potentials, 1996, 15, pp 1823.10.1109/45.481371CrossRefGoogle Scholar
Delfrate, J.H. Helios Prototype Vehicle Mishap: Technical Findings, Recommendations, and Lessons Learned, 2008.Google Scholar
Guo, A., Zhou, Z., Zhu, X.P. and Bai, F. Low-cost sensors state estimation algorithm for a small hand-launched Solar-powered UAV, Sensors, 2019, 19, p 4627.10.3390/s19214627CrossRefGoogle ScholarPubMed
Li, X., Sun, K. and Li, F. General optimal design of solar-powered unmanned aerial vehicle for propriety considering propulsion system, Chin J Aeronaut, 2020.CrossRefGoogle Scholar
Bolandhemmat, H., Thomsen, B. and Marriott, J. Energy-optimized trajectory planning for High Altitude Long Endurance (HALE) aircraft, Proceedings of the 2019 18th European Control Conference (ECC), Napoli, Italy, 25–28 June 2019, pp 14861493.Google Scholar
Beard, R.W. Embedded UAS autopilot and sensor systems, Encyclopedia of Aerospace Engineering, John Wiley & Sons, 2010, Chichester, UK, pp 47994814.Google Scholar
Oettershagen, P., Stastny, T. and Hinzmann, T. Robotic technologies for solar-powered UAVs: fully autonomous updraft-aware aerial sensing for multiday search-and-rescue missions, J Field Robot, 2017, 35, pp 129.Google Scholar
Sujit, P.B., Saripalli, S. and Sousa, J.B. Unmanned aerial vehicle path following: a survey and analysis of algorithms for fixedwing unmanned aerial vehicles, IEEE Control Syst, 2014, 34, (1), pp 4259.Google Scholar
Zhao, S.L., Wang, X.K., Lin, Z.Y., et al. Integrating vector field approach and input-to-state stability curved path following for unmanned aerial vehicles, IEEE Trans Syst Man Cybern Syst, 2020, pp 18.Google Scholar
Park, S., Deyst, J. and How, J.P. A new nonlinear guidance logic for trajectory tracking, Proceedings of the AIAA Guidance, Navigation, and Control Conference and Exhibit, Providence, RI, USA, 16–19 August 2004, pp 116.Google Scholar
Beard, R.W., Ferrin, J. and Humperys, J. Fixed wing UAV path following in wind with input constraints, IEEE Trans Cont Syst Technol, 2014, 22, (6), pp 21032117.10.1109/TCST.2014.2303787CrossRefGoogle Scholar
Nelson, D.R., Barber, D.B. and McLain, T.W. Vector field path following for miniature air vehicles, IEEE Trans Robot, 2007, 23, (3), pp 519529.10.1109/TRO.2007.898976CrossRefGoogle Scholar
Beard, R.W. and Mclain, T.W. Small Unmanned Aircraft: Theory and Practice, Princeton University Press, 2012, Princeton, NJ, USA.10.1515/9781400840601CrossRefGoogle Scholar
Wilhelm, J.P. and Clem, G. Vector field UAV guidance for path following and obstacle avoidance with minimal deviation, J Guid Control Dynam, 2019, 42, (8), pp 18481856.10.2514/1.G004053CrossRefGoogle Scholar
Fari, S., Wang, X.M., Roy, S. and Baldi, S. Addressing unmodeled path-following dynamics via adaptive vector field: a UAV test case, IEEE T Aero Elec Sys, 2020, 56, (2), pp 16131622.CrossRefGoogle Scholar
Belvins, A., Keshmiri, S., Shukla, D. and Godfrey, G. Dubins path guidance for fixed-wing UAS remote sensing applications, AIAA SciTech Forum 2020, Orlando, FL, 6–10 January 2020.10.2514/6.2020-1236CrossRefGoogle Scholar
Manyam, S.G., Casbeer, D., Moll, A.V. and Fuchs, Z. Shortest dubins path to a circle, AIAA SciTech Forum 2019, San Diego, California, 7–11 January 2019.CrossRefGoogle Scholar
Chen, Z. On Dubins paths to a circle. Automatica, 2020, 117, p 108996.CrossRefGoogle Scholar
Owen, M., Beard, R.W. and McLain, T.W. Implementing Dubins Airplane Paths on Fixed-Wing UAVs, Handbook of Unmanned Aerial Vehicles, Springer, 2015, Dordrecht, pp 16771701.10.1007/978-90-481-9707-1_120CrossRefGoogle Scholar
Singh, N.K. and Hota, S. Waypoint following for fixed-wing MAVs in 3D space, 2018 AIAA Guidance, Navigation, and Control Conference, Kissimmee, Florida, 8–12 January 2018.10.2514/6.2018-1592CrossRefGoogle Scholar
Ambrosino, G., Ariola, M., Ciniglio, U., et al. Path generation and tracking in 3-D for UAVs, IEEE T Contr Syst T, 2009, 17, (4), pp 980988.CrossRefGoogle Scholar
Zhang, D.B. and Wang, X. Autonomous landing control of fixed-wing UAVs: from theory to field experiment, J Intell Rob Syst, 2017, 88, pp 619634.CrossRefGoogle Scholar
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