Skip to main content

Coordinated Tracking of a Stationary Target in the Presence of Wind with Collision Avoidance Guarantees

  • Conference paper
  • First Online:
Robot 2023: Sixth Iberian Robotics Conference (ROBOT 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 978))

Included in the following conference series:

  • 18 Accesses

Abstract

This paper proposes a vector field guidance law for a team of Unmanned Aircraft (UA) to track a stationary target in a circular path at a fixed stand-off radius from the position of the target. A phasing Lyapunov function is also given and, using the Lyapunov stability analysis it is ensured that the two UA will maintain a constant phase difference between them once they converge to the stand-off radius. To counter the effect of a constant background wind, the vector guidance law is modified using a variable scaling factor. During the transient phase, i.e., before converging to the stand-off radius, the possibility of having a collision between the two UA is avoided by using a Control Barrier Function (CBF) approach to generate constraint based input control functions which avoids the collision between the two UA. We also propose an algorithm for periodic and event-based communication to reduce the frequency of the information exchange between UA. Simulation results for the cases of constant communication between the two UA, periodic communication, and an event-based communication are presented which verifies the efficacy of the proposed methodology.

The authors acknowledge the financial support of the Foundation for Science and Technology (FCT/MCTES) in the framework of the Associated Laboratory - Advanced Production and Intelligent Systems (AL ARISE, ref. LA/P/0112/2020), the R &D Unit SYSTEC (Base UIDB/00147/2020 and Programmatic UIDP/00147/2020 funds), and project RELIABLE - Advances in control design methodologies for safety critical systems applied to robotics (ref. PTDC/EEI-AUT/3522/2020) both funded by national funds through the FCT/MCTES (PIDDAC). The first author was supported by a Ph.D. Scholarship, grant 2022.11199. BD from FCT, Portugal.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 279.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    An extended class \(\mathscr {K}_\infty \) function \(\beta : \mathbb {R} \rightarrow \mathbb {R}\) is strictly increasing with \(\beta (0) = 0\).

References

  1. Ward, S., Hensler, J., Alsalam, B., Felipe Gonzalez, L.: Autonomous UAVs wildlife detection using thermal imaging, predictive navigation and computer vision. In: 2016 IEEE Aerospace Conference, pp. 1–8 (2016)

    Google Scholar 

  2. Oliveira, T., Pedro Aguiar, A., Encarnação, P.: A convoy protection strategy using the moving path following method. In: 2016 International Conference on Unmanned Aircraft Systems (ICUAS), pp. 521–530 (2016)

    Google Scholar 

  3. Ramasamy, M., Ghose, D.: Learning-based preferential surveillance algorithm for persistent surveillance by unmanned aerial vehicles. In: 2016 International Conference on Unmanned Aircraft Systems (ICUAS), pp. 1032–1040 (2016)

    Google Scholar 

  4. Frew, E.W., Lawrence, D.A., Dixon, C., Elston, J., Pisano, W.J.: Lyapunov guidance vector fields for unmanned aircraft applications. In: 2007 American Control Conference, pp. 371–376 (2007)

    Google Scholar 

  5. Frew, E.W., Lawrence, D.A., Morris, S.: Coordinated standoff tracking of moving targets using Iyapunov guidance vector fields. J. Guidance Control Dyn. 31(2), 290–306 (2008)

    Article  Google Scholar 

  6. Hyondong, O., Kim, S., Shin, H., Tsourdos, A.: Coordinated standoff tracking of moving target groups using multiple UAVs. IEEE Trans. Aerosp. Electron. Syst. 51(2), 1501–1514 (2015)

    Article  Google Scholar 

  7. Kassab, M.A., Maher, A., Elkazzaz, F., Baochang, Z.: UAV target tracking by detection via deep neural networks. In: 2019 IEEE International Conference on Multimedia and Expo (ICME), pp. 139–144 (2019)

    Google Scholar 

  8. Abin Alex Pothen and Ashwini Ratnoo: Curvature-constrained Iyapunov vector field for Standoff target tracking. J. Guid. Control. Dyn. 40(10), 2729–2736 (2017)

    Article  Google Scholar 

  9. Wang, L., Zhu, H., Shen, L.: Cooperative ground moving target standoff tracking using UAVs. In: 2010 The 2nd International Conference on Computer and Automation Engineering (ICCAE), vol. 2, pp. 377–382 (2010)

    Google Scholar 

  10. Muslimov, T.Z., Munasypov, R.A.: Coordinated UAV Standoff tracking of moving target based on Iyapunov vector fields. In: 2020 International Conference Nonlinearity, Information and Robotics (NIR), pp. 1–5 (2020)

    Google Scholar 

  11. Ames, A.D., Coogan, S., Egerstedt, M., Notomista, G., Sreenath, K., Tabuada, P.: Control barrier functions: theory and applications. In: 2019 18th European control conference (ECC), pp. 3420–3431 (2019)

    Google Scholar 

  12. Khalil, H.K.: Nonlinear Systems. 3rd edn (2002)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Pallov Anand .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Anand, P., Aguiar, A.P., Sujit, P.B. (2024). Coordinated Tracking of a Stationary Target in the Presence of Wind with Collision Avoidance Guarantees. In: Marques, L., Santos, C., Lima, J.L., Tardioli, D., Ferre, M. (eds) Robot 2023: Sixth Iberian Robotics Conference. ROBOT 2023. Lecture Notes in Networks and Systems, vol 978. Springer, Cham. https://doi.org/10.1007/978-3-031-59167-9_11

Download citation

Publish with us

Policies and ethics