Optimal cooperative control for formation flying spacecraft with collision avoidance
- PMID: 31829897
- PMCID: PMC10452794
- DOI: 10.1177/0036850419884432
Optimal cooperative control for formation flying spacecraft with collision avoidance
Abstract
This article investigates optimal cooperative control algorithms for spacecraft formation flying system that can guarantee collision avoidance between spacecrafts. By selecting potential functions to avoid collisions and constructing index cost functions to describe optimal control, the optimal control algorithms based on the state-dependent Riccati equations, which only require local information vectors, are presented that can guarantee the formation spacecraft to track the reference trajectory without collisions and achieve optimal performance states. Finally, the corresponding proof analysis by Lyapunov stability theory shows that the closed-loop system for spacecraft formation flying is asymptotically stable. The simulation results demonstrate the effectiveness of the proposed optimal cooperative control algorithms with desired control objectives, including trajectory tracking, formation optimality, and collision avoidance.
Keywords: Spacecraft formation flying; collision avoidance; cooperative control; optimal control; optimal cooperative control.
Conflict of interest statement
The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Figures







Similar articles
-
Relative position finite-time coordinated tracking control of spacecraft formation without velocity measurements.ISA Trans. 2015 Jan;54:60-74. doi: 10.1016/j.isatra.2014.08.004. Epub 2014 Aug 27. ISA Trans. 2015. PMID: 25172385
-
6 DOF synchronized control for spacecraft formation flying with input constraint and parameter uncertainties.ISA Trans. 2011 Oct;50(4):573-80. doi: 10.1016/j.isatra.2011.04.001. Epub 2011 May 5. ISA Trans. 2011. PMID: 21549377
-
Autonomous Trajectory Generation Comparison for De-Orbiting with Multiple Collision Avoidance.Sensors (Basel). 2022 Sep 19;22(18):7066. doi: 10.3390/s22187066. Sensors (Basel). 2022. PMID: 36146415 Free PMC article.
-
Vision-Based Flying Obstacle Detection for Avoiding Midair Collisions: A Systematic Review.J Imaging. 2023 Sep 25;9(10):194. doi: 10.3390/jimaging9100194. J Imaging. 2023. PMID: 37888301 Free PMC article. Review.
-
Optimality principles in spacecraft neural guidance and control.Sci Robot. 2024 Jun 19;9(91):eadi6421. doi: 10.1126/scirobotics.adi6421. Epub 2024 Jun 19. Sci Robot. 2024. PMID: 38896719 Review.
Cited by
-
Data-based bipartite formation control for multi-agent systems with communication constraints.Sci Prog. 2024 Jan-Mar;107(1):368504241227620. doi: 10.1177/00368504241227620. Sci Prog. 2024. PMID: 38361488 Free PMC article.
References
-
- Wang J, Xin M.Distributed optimal cooperative tracking control of multiple autonomous robots. Robot Auton Syst 2012; 60: 572–583.
-
- Li X, Zhu Z, Song S.Non-cooperative autonomous rendezvous and docking using artificial potentials and sliding mode control. Proc IMechE, Part G: J Aerospace Engineering 2018; 233: 1171–1184.
-
- Kim TH, Sugie T.Cooperative control for target-capturing task based on a cyclic pursuit strategy. Automatica 2007; 43: 1426–1431.
-
- Shen Q, Jiang B, Shi P, et al.. Cooperative adaptive fuzzy tracking control for networked unknown nonlinear multiagent systems with time-varying actuator faults. IEEE T Fuzzy Syst 2014; 22: 494–504.
-
- Kuriki Y, Namerikawa T.Consensus-based cooperative formation control with collision avoidance for a multi-UAV system. In: Proceedings of the American control conference, Portland, OR, 4–6 June 2014. New York: IEEE.
LinkOut - more resources
Full Text Sources