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Authors: Petr Skobelev 1 ; 2 ; Gennady Myatov 2 ; Vladimir Galuzin 2 ; Anastasia Galitskaya 3 ; Anton Ivanov 4 and Aleksandr Chernyavskii 5

Affiliations: 1 Samara Federal Research Center of the Russian Academy of Sciences, Institute for the Control of Complex Systems of Russian Academy of Sciences, 61, Sadovaya st., Samara, 443020, Russian Federation ; 2 Samara State Technical University, 244, Molodogvardeyskaya st., Samara, 443100, Russian Federation ; 3 Knowledge Genesis, Skolkovo Innovation Center, 42, Bolshoy Boulevard st., Moscow, 121205, Russian Federation ; 4 Skolkovo Institute of Science and Technology, Skolkovo Innovation Center, 30/1, Bolshoy Boulevard, Moscow, 121205, Russian Federation ; 5 RSC Energia, 4A, Lenina st., Korolev, Moscow region, 141070, Russian Federation

Keyword(s): Satellite, Ground Station, Object of Observation, Inter-satellite Communication, Multi-agent Technology, Autonomous Control.

Abstract: The paper describes an autonomous distributed multi-agent system for mission control of a multi-satellite swarm, using direct data exchange between satellites in space via a radio channel to make coordinated collective decisions. The main advantage of autonomous control on board the vehicle is the ability to use the current data on its state to quickly respond to events in real time, without having to wait for a response or instructions from the Earth. The proposed approach develops the principles of creating self-organizing systems and is supposed to be implemented in several stages of the space mission. The first stage consists in conducting experiments on the use of inter-satellite interaction in order to assess and clarify the possibility of performing and correcting the plan of operations built on the ground with account of the current telemetry data obtained in real time. At the second stage, it is planned to use more powerful on-board computers and organize fully autonomous co ntrol in a mesh network formed by the satellites for a distributed solution of the observation problem, surveying a given area in the interests of ecology and solving other problems requiring coordinated interaction of devices. In this regard, this paper presents a refined brief problem statement for planning the work of a multi-satellite swarm in relation to the previously considered one. A brief description of the developed system is given, which makes it possible to implement processing applications for performing space experiments by means of the ground circuit and resources of the space constellation. The paper also presents the structure and functions of the autonomous multi-agent system and protocols of agent interaction, as well as models and methods of multi-agent group management. Prospects for further development and practical application of the approach are discussed. (More)

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Paper citation in several formats:
Skobelev, P.; Myatov, G.; Galuzin, V.; Galitskaya, A.; Ivanov, A. and Chernyavskii, A. (2022). Design of an Autonomous Distributed Multi-agent Mission Control System for a Swarm of Satellites. In Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART; ISBN 978-989-758-547-0; ISSN 2184-433X, SciTePress, pages 408-416. DOI: 10.5220/0010917400003116

@conference{icaart22,
author={Petr Skobelev. and Gennady Myatov. and Vladimir Galuzin. and Anastasia Galitskaya. and Anton Ivanov. and Aleksandr Chernyavskii.},
title={Design of an Autonomous Distributed Multi-agent Mission Control System for a Swarm of Satellites},
booktitle={Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},
year={2022},
pages={408-416},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010917400003116},
isbn={978-989-758-547-0},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - Design of an Autonomous Distributed Multi-agent Mission Control System for a Swarm of Satellites
SN - 978-989-758-547-0
IS - 2184-433X
AU - Skobelev, P.
AU - Myatov, G.
AU - Galuzin, V.
AU - Galitskaya, A.
AU - Ivanov, A.
AU - Chernyavskii, A.
PY - 2022
SP - 408
EP - 416
DO - 10.5220/0010917400003116
PB - SciTePress