Model predictive control of connected spacecraft formation.

Kannan, Somasundar; Bhowmick, Parijat; Alamdari, Seyed Amin Sajadi

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

• Journal Article Type: Conference Paper
• Conference Name: 22nd IFAC (International Federation of Automatic Control) symposium on Automatic control in aerospace 2022 (ACA 2022)
• Conference Location: Mumbai, India
• 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
• Publisher: Elsevier
• 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