Synchronization of flight trajectories based on the architecture of the "Internet of Things" in the implementation of swarm management

An implemented approach using the architecture of the "Internet of Things" (IoT) [1] to solve the problem of loss of synchronization by members of the drone swarm when working out a determined flight plan at the same time. To synchronize the execution of trajectories, the proposed approac...

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Main Authors: А. Ахаладзе, O. Лісовиченко
Format: Article
Language:English
Published: Igor Sikorsky Kyiv Polytechnic Institute 2022-07-01
Series:Adaptivni Sistemi Avtomatičnogo Upravlinnâ
Subjects:
Online Access:http://asac.kpi.ua/article/view/261536
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author А. Ахаладзе
O. Лісовиченко
author_facet А. Ахаладзе
O. Лісовиченко
author_sort А. Ахаладзе
collection DOAJ
description An implemented approach using the architecture of the "Internet of Things" (IoT) [1] to solve the problem of loss of synchronization by members of the drone swarm when working out a determined flight plan at the same time. To synchronize the execution of trajectories, the proposed approach uses the analysis of telemetry data of each drone with a given discreteness as feedback swarm control. In addition, the basic requirements for the speed of feedback from drones and the impact of feedback time on the dynamics of swarm control, in general, are identified. Ref. 7, pic. 8.
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spelling doaj.art-0225100632564183aafb3d3ad7f8e7632022-12-22T02:59:57ZengIgor Sikorsky Kyiv Polytechnic InstituteAdaptivni Sistemi Avtomatičnogo Upravlinnâ1560-89562522-95752022-07-0114010.20535/1560-8956.40.2022.261536Synchronization of flight trajectories based on the architecture of the "Internet of Things" in the implementation of swarm managementА. Ахаладзе0O. Лісовиченко1Igor Sikorsky Kyiv Polytechnic InstituteIgor Sikorsky Kyiv Polytechnic Institute An implemented approach using the architecture of the "Internet of Things" (IoT) [1] to solve the problem of loss of synchronization by members of the drone swarm when working out a determined flight plan at the same time. To synchronize the execution of trajectories, the proposed approach uses the analysis of telemetry data of each drone with a given discreteness as feedback swarm control. In addition, the basic requirements for the speed of feedback from drones and the impact of feedback time on the dynamics of swarm control, in general, are identified. Ref. 7, pic. 8. http://asac.kpi.ua/article/view/261536Internet of ThingsIoTswarm problemtrajectory target pointtrajectory synchronizationfeedback
spellingShingle А. Ахаладзе
O. Лісовиченко
Synchronization of flight trajectories based on the architecture of the "Internet of Things" in the implementation of swarm management
Adaptivni Sistemi Avtomatičnogo Upravlinnâ
Internet of Things
IoT
swarm problem
trajectory target point
trajectory synchronization
feedback
title Synchronization of flight trajectories based on the architecture of the "Internet of Things" in the implementation of swarm management
title_full Synchronization of flight trajectories based on the architecture of the "Internet of Things" in the implementation of swarm management
title_fullStr Synchronization of flight trajectories based on the architecture of the "Internet of Things" in the implementation of swarm management
title_full_unstemmed Synchronization of flight trajectories based on the architecture of the "Internet of Things" in the implementation of swarm management
title_short Synchronization of flight trajectories based on the architecture of the "Internet of Things" in the implementation of swarm management
title_sort synchronization of flight trajectories based on the architecture of the internet of things in the implementation of swarm management
topic Internet of Things
IoT
swarm problem
trajectory target point
trajectory synchronization
feedback
url http://asac.kpi.ua/article/view/261536
work_keys_str_mv AT aahaladze synchronizationofflighttrajectoriesbasedonthearchitectureoftheinternetofthingsintheimplementationofswarmmanagement
AT olísovičenko synchronizationofflighttrajectoriesbasedonthearchitectureoftheinternetofthingsintheimplementationofswarmmanagement