Fault-Tolerant Cooperative Navigation of Networked UAV Swarms for Forest Fire Monitoring

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Abstract

Coordination of unmanned aerial vehicle (UAV) swarms has received significant attention due to its wide practical applications
including search and rescue, cooperative exploration and target surveillance. Motivated by the flexibility of the UAVs and the recent
advancement of graph-based cooperative control strategies, this paper aims to develop a fault-tolerant cooperation framework for
networked UAVs with applications to forest fire monitoring. Firstly, a cooperative navigation strategy based on network graph
theory is proposed to coordinate all the connected UAVs in a swarm in the presence of unknown disturbances. The stability of the
aerial swarm system is guaranteed using the Lyapunov approach. In case of damage to the actuators of some of the UAVs during the
mission, a decentralized task reassignment algorithm is then applied, which makes the UAV swarm more robust to uncertainties.
Finally, a novel geometry-based collision avoidance approach using onboard sensory information is proposed to avoid potential
collisions during the mission. The eectiveness and feasibility of the proposed framework are verified initially by simulations and
then using real-world flight tests in outdoor environments.
Original languageEnglish
JournalAerospace Science and Technology
Publication statusAccepted/In press - 7 Mar 2022

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