swarm; CubeSat; magnetic attitude control; task allocation; multi-agent optimization
Abstract :
[en] The collective behavior of four magnetically controlled CubeSats in LEO is considered. The spacecraft flyas a group and when commanded, use intersatellite link to negotiate and determine the most favorablearrangement to provide maximum sky coverage around a specified reference direction by onboard sensors.The most favorable arrangement is attained through attitude task allocation consensus and arrived at by afully magnetic controller implemented onboard of each spacecraft
Disciplines :
Aerospace & aeronautics engineering
Author, co-author :
MAHFOUZ, Ahmed ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Automation
Thepdawala, Salman Ali
Abdelrahman, Nourhan
Pritykin, Dmitry
External co-authors :
yes
Language :
English
Title :
Multi-Agent Attitude Task Allocation and Control in a Swarm of Magnetically Controlled CubeSats
Publication date :
2021
Event name :
International Astronautical Congress (IAC) 2021
Event place :
Dubai, United Arab Emirates
Event date :
from 25-10-2021 to 29-10-2021
Audience :
International
Main work title :
IAC 2021 congress proceedings, 72nd International Astronautical Congress (IAC)
Publisher :
International Astronautical Federation, Dubai, United Arab Emirates
Peer reviewed :
Editorial reviewed
FnR Project :
FNR14302465 - Development Tool For Autonomous Constellation And Formation Control Of Microsatellites, 2019 (01/09/2020-31/08/2023) - Holger Voos
A. Mahfouz, D. Pritykin, et al. Coordinated attitude determination and control in a swarm of cubesats. Proceedings of the International As- tronautical Congress, IAC, 2019-October, 2019.
Anastasiia Annenkova, Nourhan Abdelrahman, et al. CubeSat Magnetic Atlas and in-Orbit Compensation of Residual Magnetic Dipole. Proceedings of the International Astronauti- cal Congress, The Cyberspace Edition, 2020- October, 2020.
Anton Afanasev, Mikhail Shavin, et al. Tetrahedral Satellite Formation: Geomagnetic Measurements Exchange and Interpolation. Advances in Space Research, 67(10):3294{3307, 2021.
Daniel Cellucci, Nick B. Cramer, and Jeremy D. Frank. Distributed spacecraft autonomy. In AIAA 2020-4232. ASCEND 2020. November 2020.
C.A. Raymond, J.O. Bristow, and M.R. Schoeberl. Needs for an intelligent distributed spacecraft infrastructure. In IEEE International Geo- science and Remote Sensing Symposium, volume 1, pages 371{374 vol.1, 2002.
Carles Araguz, Elisenda Bou-Balust, and Eduard Alarc-on. Applying autonomy to distributed satellite systems: Trends, challenges, and future prospects. Systems Engineering, 21(5):401{416, 2018.
Chris HomesParker. Exploiting structure and agent-centric rewards to promote coordination in large multiagent systems. 2014.
Claudio Iacopino, Phil Palmer, Nicola Policella, and Alessandro Donati. Planning the GENSO Ground Station Network via an Ant Colony- based approach.
Howard Tripp and Phil Palmer. Stigmergy based behavioural coordination for satellite clusters. Acta Astronautica, 66(7):1052{1071, April 2010.
DS Ivanov, M Yu Ovchinnikov, et al. Advanced numerical study of the three-axis magnetic attitude control and determination with uncertainties. Acta Astronautica, 132:103{110, 2017.
Mohammed AA Desouky and Ossama Abdelkhalik. Stability and steady state error analysis for satellite magnetic attitude regulation. AAS/AIAA Astrodynamics Specialist Confer- ence Proceedings, 2020.
M.Yu. Ovchinnikov, D.S. Roldugin, et al. Choosing control parameters for three axis magnetic stabilization in orbital frame. Acta Astronau- tica, 116:74{77, 2015. cited By 17.
Ahmed Mahfouz, Nourhan Abdelrahman, et al. Attitude Task Allocation and Control in a Swarm of Magnetically Controlled CubeSats. Proceedings of the 8th International Conference of Control Systems, and Robotics (CDSR'21), Virtual Conference { May 23-25, 2021.
S. Biktimirov, N. Solodovnikova, et al. A CubeSat-based Space System to Monitor Space Debris Population in LEO. Proceedings of the In- ternational Astronautical Congress, IAC, 2021- October, 2021.
Wei Shi, Qing Ling, Gang Wu, and Wotao Yin. Extra: An exact -rst-order algorithm for decentralized consensus optimization. SIAM Journal on Optimization, 25(2):944{966, 2015. IAC{.
