Abstract
Cooperative hunting has been an active research field in unmanned aerial vehicles (UAVs) studies. In a three-dimensional (3D) world, the underneath UAV could be influenced by the downwash impact created from the UAV above when a trajectory crossing exists. This paper introduced a solution to realize the cooperative hunting of multi-UAV in a cluttered environment with obstacles. The comparison with a flocking navigated solution with an adaptive height downwash model considered in an obstacle-free environment and the distributed sliding mode position controller solution in a cluttered environment where the target is moving are presented and discussed at the end of the paper. The proposed solution is observed to succeed in cooperative hunting of a moving/static target in a cluttered/obstacle-free environment with faster convergences and shorter trajectories than the other two solutions.
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Chen, C.-C., Liu, H.H.T.: Adaptive modelling for downwash effects in multi-UAV path planning. Guidance, Navigation and Control, to appear, 1 Jan 2022. published
Chen, C.-C. Practical Implementation of Multi-UAV Flocking Path Planning. University of Toronto, Canada (2021)
Liao, J., Liu, C., Liu, H.H.T.: Model predictive control for cooperative hunting in obstacle rich and dynamic environments. In: IEEE International Conference on Robotics and Automation, 1 June 2021, pp. 1–8. https://www.flight.utias.utoronto.ca/fsc/wp-content/uploads/2021/05/icra2021jl.mp4%20https://www.flight.utias.utoronto.ca/fsc/wp-content/uploads/2021/05/icra2021jl.pdf. published
Song, G., Peng, S.W.X.: Distributed target-encirclement control of multiple quadrotors with a leader-follower framework. ICIC Express Lett. 16(9), 973–982 (2022)
Furtado, J., Liu, H.H.T.: Multi-UAV path planning and guidance for cooperative hunting in a cluttered environment. J. Intell. Robot. Syst. (2019). Published
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Fan, S., Song, G., Chen, CC., Shi, P., Liu, H.H.. (2023). Multi-UAV Cooperative Hunting Using PSO in 3D Cluttered Environment. In: Yan, L., Duan, H., Deng, Y. (eds) Advances in Guidance, Navigation and Control. ICGNC 2022. Lecture Notes in Electrical Engineering, vol 845. Springer, Singapore. https://doi.org/10.1007/978-981-19-6613-2_352
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DOI: https://doi.org/10.1007/978-981-19-6613-2_352
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Online ISBN: 978-981-19-6613-2
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