Dr Somasundar Kannan s.kannan1@rgu.ac.uk
Lecturer
Model predictive control of connected spacecraft formation.
Kannan, Somasundar; Bhowmick, Parijat; Alamdari, Seyed Amin Sajadi
Authors
Parijat Bhowmick
Seyed Amin Sajadi Alamdari
Abstract
In this contribution the authors discuss the application of Model Predictive Control (MPC) to achieve a connected network formation of spacecrafts. A set of three spacecrafts are used to achieve in-plane formation which are initially in a connected network. Two scenarios including formation control and formation control with collision avoidance in a leader-follower configuration is addressed through simulation studies. The aspect of MPC stability and network connectivity is also addressed briefly in the context of formation control.
Citation
KANNAN, S., BHOWMICK, P. and ALAMDARI, S.A.S. 2022. Model predictive control of connected spacecraft formation. IFAC papers online [online], 55(22): proceedings of the 22nd IFAC (International Federation of Automatic Control) symposium on Automatic control in aerospace 2022 (ACA 2022), 21-25 November 2022, Mumbai, India, pages 322-327. Available from: https://doi.org/10.1016/j.ifacol.2023.03.054
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | 22nd IFAC (International Federation of Automatic Control) symposium on Automatic control in aerospace 2022 (ACA 2022) |
Start Date | Nov 21, 2022 |
End Date | Nov 25, 2022 |
Acceptance Date | May 31, 2022 |
Online Publication Date | Apr 17, 2023 |
Publication Date | Dec 31, 2022 |
Deposit Date | Apr 25, 2023 |
Publicly Available Date | Apr 25, 2023 |
Journal | IFAC-PapersOnLine |
Print ISSN | 2405-8963 |
Electronic ISSN | 2405-8963 |
Publisher | International Federation of Automatic Control (IFAC) |
Peer Reviewed | Peer Reviewed |
Volume | 55 |
Issue | 22 |
Pages | 322-327 |
DOI | https://doi.org/10.1016/j.ifacol.2023.03.054 |
Keywords | Formation control; Spacecraft; MPC; Collision avoidance; Connected network |
Public URL | https://rgu-repository.worktribe.com/output/1947238 |
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Copyright Statement
© 2023. The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/).
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