UAVs fleet control design using distributed particle swarm optimization: A leaderless approach

Adel Belkadi 1 Laurent Ciarletta 2 Didier Theilliol 1
2 MADYNES - Management of dynamic networks and services
LORIA - NSS - Department of Networks, Systems and Services, Inria Nancy - Grand Est
Abstract : This paper concerns a distributed control approach of a fleet of Unmanned Aerial Vehicles (UAVs) based on a Leaderless strategy. The independent distributed particle swarm Optimization algorithms are used to develop this approach. The goal is to get a set of UAVs to fly on a 2D plane while converging to a predefined spatial configuration around a rendezvous point. The developed method would be applied to solve problems such as covering large search areas for surveillance, inspection and rescue. The method is tested in simulation on a fleet of UAVs. Test results for various cases are presented.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-01382063
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Submitted on : Saturday, October 15, 2016 - 12:24:23 PM
Last modification on : Tuesday, February 5, 2019 - 2:46:01 PM

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Adel Belkadi, Laurent Ciarletta, Didier Theilliol. UAVs fleet control design using distributed particle swarm optimization: A leaderless approach. International Conference on Unmanned Aircraft Systems, ICUAS 2016, Jun 2016, Arlington, VA, United States. pp.364-371, ⟨10.1109/ICUAS.2016.7502679⟩. ⟨hal-01382063⟩

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