Magnetic Attitude Control; Swarm of CubeSats; Floquet Theory; Coverage Optimization
Abstract :
[en] The paper delineates the magnetic controller gains tuning procedure for an active magnetic attitude control system of a
CubeSat in the ISS orbit. The optimization is conducted for arbitrary required attitude given in the orbital reference frame of the
spacecraft. The study has been conducted as a part of the Skoltech University project to deploy a swarm of 3U CubeSats for collective
gamma-ray bursts detection, which requires the satellites' coordinated attitude control. We consider four identical CubeSats exhibiting
swarm behaviour by optimal attitude task allocation on receipt of a command from the mission control center. The first part of this study
shows how to obtain the controller gains via linearization of the spacecraft rotational dynamics in the vicinity of the required attitude
regime and subsequent numerical optimization (carried out in terms of Floquet theory). The second part shows the collective attitude
control scenario. The task of the swarm is to ensure maximum sky coverage around a principal direction uplinked to the spacecraft. The
task extends to ensuring the maximum collective stability of the swarm through implementing the optimization algorithm.
Disciplines :
Aerospace & aeronautics engineering
Author, co-author :
Mahfouz, Ahmed ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Automation
Abdelrahman, Nourhan
Thepdawala, Salman Ali
Pritykin, Dmitry
External co-authors :
yes
Language :
English
Title :
Attitude Task Allocation and Control in a Swarm of Magnetically Controlled CubeSats
Publication date :
2021
Event name :
8th International Conference of Control Systems, and Robotics (CDSR'21)
Event place :
United States - California
Event date :
from 23-05-2021 to 25-05-2021
Main work title :
CDSR 2021 conference proceedings, 8th International Conference on Control, Dynamic Systems, and Robotics (CDSR'21)
