Skip to main content
Log in

Turn Decisions for Autonomous Thermalling of Unmanned Aerial Gliders

  • Regular paper
  • Published:
Journal of Intelligent & Robotic Systems Aims and scope Submit manuscript

Abstract

Unmanned Aerial Gliders form a subclass of fixed-wing Unmanned Aerial Vehicles which promise to offer sustained flight for a wide range of applications. Autonomous soaring allows these aircraft to detect and exploit rising air masses (thermals) without user input, which greatly simplifies their operation. While previous research has focused on the detection and exploitation of thermal updraft, the initial turn at the entry point into the thermal has been ignored. This paper explores the initial turn decision at the instant of thermal detection in order to improve soaring performance by flying directly into the thermal. A high-fidelity simulation of an off-the-shelf RC glider is constructed, along with the Weather Research and Forecasting model to capture realistic thermal convection. The effects of turn decisions on thermalling performance are examined through a large batch simulation on a Matlab/Simulink environment. Thermalling algorithms are subsequently integrated into the PX4 flight stack for Software-in-the-Loop simulations and flight tests using a Pixhawk flight controller. Simulated and experimental results demonstrate the importance of turn decisions for improved overall soaring performance.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

References

  1. Allen, M.J.: Updraft model for development of autonomous soaring uninhabited air vehicles. In: 44th AIAA Aerospace Sciences Meeting and Exhibit (2006). https://doi.org/10.2514/6.2006-1510

  2. Allen, M.J., Lin, V.: Guidance and control of an autonomous soaring UAV. Tech. rep, NASA Dryden Flight Research Center (2007)

  3. Anderson, J.D.: Aircraft Performance and Design. McGraw-Hill Education, New York (1998)

    Google Scholar 

  4. Beard, R.W.: Small Unmanned Aircraft - Theory and Practice. Princeton UP, NJ (2012)

  5. Bencatel, R., Borges de Sousa, J., Renee Girard, A.: Atmospheric flow field models applicable for aircraft endurance extension. In: Progress in Aerospace Sciences, pp 61:1–25 (2013)

  6. Daugherty, S.C., Langelaan, J.W.: Improving autonomous soaring via energy state estimation and extremum seeking control. In: AIAA Guidance, Navigation, and Control (2014)

  7. Depenbusch, N.T., Bird, J.J., Langelaan, J.W.: The AutoSOAR autonomous soaring aircraft, part 1: Autonomy algorithms. Journal of Field Robotics 35(6), 868–889 (2018)

    Article  Google Scholar 

  8. Depenbusch, N.T., Bird, J.J., Langelaan, J.W.: The AutoSOAR autonomous soaring aircraft part 2. Journal of Field Robotics 35(4), 435–458 (2018)

    Article  Google Scholar 

  9. Edwards, D.: Performance testing of RNR’s SBXC using a piccolo autopilot (2007)

  10. Edwards, D.J.: Implementation details and flight test results of an autonomous soaring controller. In: AIAA Guidance, Navigation and Control Conference and Exhibit (2008)

  11. Edwards, D.J.: Autonomous locator of thermals (ALOFT) autonomous soaring algorithm. Tech. rep, Naval Research Laboratory (2015)

  12. Edwards, D.J., Kahn, A.D., Kelly, M., Heinzen, S., Scheiman, D.A., Jenkins, P.P., Walters, R., Hoheisel, R.: Maximizing net power in circular turns for solar and autonomous soaring aircraft. Journal of Aircraft 53(5), 1237–1247 (2016)

    Article  Google Scholar 

  13. El Tin, F., Borowczyk, A., Sharf, I., Nahon, M.: Turn decision-making for improved autonomous thermalling of unmanned aerial gliders. In: International Conference on Unmanned Aircraft Systems, pp. 1368–1375. IEEE (2020)

  14. Gao, C.: Autonomous soaring and surveillance in wind fields with an unmanned aerial vehicle. Ph.D. thesis, University of Toronto (2015)

  15. Giordano, C., Vernin, J., Vazquez Ramio, H., Munoz-Tunon, C., Varela, A.M., Trinquet, H.: Atmospheric and seeing forecast: WRF model validation with in situ measurements at ORM. Monthly Notices of the Royal Astronomical Society 430(4), 3102–3111 (2013). https://doi.org/10.1093/MNRAS/STT117

    Article  Google Scholar 

  16. Hazard, M.: Unscented kalman filtering for real-time atmospheric thermal tracking. Ph.D. thesis, North Carolina State University, Raleigh, North Carolina (2010)

  17. Irving, F.: The Paths of Soaring Flight. Imperial College Press, London (1999)

    Book  Google Scholar 

  18. Lawrance, N.R.J., Sukkarieh, S.: Wind energy based path planning for a small gliding unmanned aerial vehicle. In: AIAA Guidance, Navigation, and Control Conference (2009)

  19. Lawrance, N.R.J., Sukkarieh, S.: Autonomous exploration of a wind field with a gliding aircraft. AIAA J. Guid. Control Dyn. 34(3) (2011). https://doi.org/10.2514/1.52236

  20. Moeng, C.H., Dudhia, J., Klemp, J., Sullivan, P.: Examining two-way grid nesting for large eddy simulation of the PBL using the WRF model. Monthly Weather Review 135(6), 2295–2311 (2007). https://doi.org/10.1175/MWR3406.1

    Article  Google Scholar 

  21. Moorhouse, D.: Flying qualities of piloted airplanes. Tech. rep., U.S. Department of Defense (1982)

  22. Pennelly, C., Reuter, G.: Verification of the weather research and forecasting model when forecasting daily surface conditions in Southern Alberta. Atmosphere-Ocean 55(1), 31–41 (2017). https://doi.org/10.1080/07055900.2017.1282345

    Article  Google Scholar 

  23. Phillips, W.: Mechanics of Flight. Wiley, New York (2009)

    Google Scholar 

  24. Reichmann, H.: Cross Country Soaring. Thomson Publications, Santa Monica, CA (1978)

    Google Scholar 

  25. Skamarock, W., Klemp, J., Dudhia, J., Gill, D., Zhiquan, L., Berner, J., Wang, W., Powers, J., Duda, M.G., Barker, D.M., Huang, X.Y.: A description of the advanced research WRF model version 4. Tech. rep., NCAR (2019). https://doi.org/10.5065/1dfh-6p97

  26. Stolle, M., Watanabe, Y., Doll, C., Bolting, J.: Vision-based lifespan and strength estimation of sub-cumulus thermal updrafts for autonomous soaring. In: International Conference on Unmanned Aircraft Systems (ICUAS), pp. 162–169 (2016)

  27. Tabor, S., Guilliard, I., Kolobov, A.: ArduSoar: an open-source thermalling controller for resource-constrained autopilots. In: International Conference on Intelligent Robots and Systems (IROS), pp. 6255–6262. IEEE (2018)

  28. Wharington, J.: Autonomous control of soaring aircraft by reinforcement learning. Ph.D. thesis, Royal Melbourne Institute of Technology (1998)

  29. Williams, J.E., Vukelich, S.R.: The USAF Stability and Control Digital DATCOM, vol. 1. Tech. rep, USAF (1979)

Download references

Acknowledgements

The authors would like to thank Jacques Girard for his help with piloting the vehicle and his advice on thermal soaring with RC gliders.

Funding

This work was supported by the National Sciences and Engineering Research Council (NSERC) Canadian Robotics Network (NCRN), the McGill Engineering Doctoral Awards (MEDA), the Fonds de Recherche du Québec Nature et Technologies (FRQNT), and a Mitacs Accelerate grant.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Fares El Tin.

Ethics declarations

Conflicts of interest

The authors declare that they have no conflict of interest.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

A version of the submitted paper appeared in the Proceedings of the 2020 International Conference on Unmanned Aircraft Systems (ICUAS’20), Athens, Greece.

Appendix

Appendix

Table 1 Flight experiment parameters
Table 2 Flight experiment results summary

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Tin, F.E., Borowczyk, A., Sharf, I. et al. Turn Decisions for Autonomous Thermalling of Unmanned Aerial Gliders. J Intell Robot Syst 104, 25 (2022). https://doi.org/10.1007/s10846-021-01547-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10846-021-01547-3

Keywords