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.
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Notes
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An extended class \(\mathscr {K}_\infty \) function \(\beta : \mathbb {R} \rightarrow \mathbb {R}\) is strictly increasing with \(\beta (0) = 0\).
References
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)
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)
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)
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)
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)
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)
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)
Abin Alex Pothen and Ashwini Ratnoo: Curvature-constrained Iyapunov vector field for Standoff target tracking. J. Guid. Control. Dyn. 40(10), 2729–2736 (2017)
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)
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)
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)
Khalil, H.K.: Nonlinear Systems. 3rd edn (2002)
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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
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