Formation Control for Moving Target Enclosing via Relative Localization
July 28, 2023 ยท Declared Dead ยท ๐ IEEE Conference on Decision and Control
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Authors
Xueming Liu, Kunda Liu, Tianjiang Hu, Qingrui Zhang
arXiv ID
2307.15510
Category
eess.SY: Systems & Control (EE)
Cross-listed
cs.MA,
cs.RO
Citations
6
Venue
IEEE Conference on Decision and Control
Last Checked
2 months ago
Abstract
In this paper, we investigate the problem of controlling multiple unmanned aerial vehicles (UAVs) to enclose a moving target in a distributed fashion based on a relative distance and self-displacement measurements. A relative localization technique is developed based on the recursive least square estimation (RLSE) technique with a forgetting factor to estimates both the ``UAV-UAV'' and ``UAV-target'' relative positions. The formation enclosing motion is planned using a coupled oscillator model, which generates desired motion for UAVs to distribute evenly on a circle. The coupled-oscillator-based motion can also facilitate the exponential convergence of relative localization due to its persistent excitation nature. Based on the generation strategy of desired formation pattern and relative localization estimates, a cooperative formation tracking control scheme is proposed, which enables the formation geometric center to asymptotically converge to the moving target. The asymptotic convergence performance is analyzed theoretically for both the relative localization technique and the formation control algorithm. Numerical simulations are provided to show the efficiency of the proposed algorithm. Experiments with three quadrotors tracking one target are conducted to evaluate the proposed target enclosing method in real platforms.
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