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Auteur principal: Muslimov, Tagir
Format: Preprint
Publié: 2022
Sujets:
Accès en ligne:https://arxiv.org/abs/2208.02502
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author Muslimov, Tagir
author_facet Muslimov, Tagir
contents Controlling a distributed autonomous unmanned aerial vehicle (UAV) formation is usually considered in the context of recovering the connectivity graph should a single UAV agent be lost. At the same time, little focus is made on how such loss affects the dynamics of the formation as a system. To compensate for the negative effects, we propose an adaptation algorithm that reduces the increasing interaction between the UAV agents that remain in the formation. This algorithm enables the autonomous system to adjust to the new equilibrium state. The algorithm has been tested by computer simulation on full nonlinear UAV models. Simulation results prove the negative effect (the increased final cruising speed of the formation) to be completely eliminated.
format Preprint
id arxiv_https___arxiv_org_abs_2208_02502
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Adaptation Strategy for a Distributed Autonomous UAV Formation in Case of Aircraft Loss
Muslimov, Tagir
Systems and Control
Robotics
Controlling a distributed autonomous unmanned aerial vehicle (UAV) formation is usually considered in the context of recovering the connectivity graph should a single UAV agent be lost. At the same time, little focus is made on how such loss affects the dynamics of the formation as a system. To compensate for the negative effects, we propose an adaptation algorithm that reduces the increasing interaction between the UAV agents that remain in the formation. This algorithm enables the autonomous system to adjust to the new equilibrium state. The algorithm has been tested by computer simulation on full nonlinear UAV models. Simulation results prove the negative effect (the increased final cruising speed of the formation) to be completely eliminated.
title Adaptation Strategy for a Distributed Autonomous UAV Formation in Case of Aircraft Loss
topic Systems and Control
Robotics
url https://arxiv.org/abs/2208.02502