Multiple-Spacecraft Reconfiguration Through Collision Avoidance, Bouncing, and Stalemate
Young-Rae Kim,
M. Mesbahi and
F. Y. Hadaegh
Additional contact information
M. Mesbahi: University of Washington
F. Y. Hadaegh: California Institute of Technology
Journal of Optimization Theory and Applications, 2004, vol. 122, issue 2, No 5, 323-343
Abstract:
Abstract We consider constrained multiple-spacecraft reconfigurations outside a gravity well in deep space. As opposed to the single-spacecraft scenario, such reconfigurations involve collision avoidance constraints that can be embedded in a nonconvex, state-constrained optimal control problem. Due to the difficulties in solving this general class of optimal control problems, we adopt a heuristically motivated approach to multiple-spacecraft reconfigurations. Then, we proceed to prove the convergence properties of the proposed approach for reconfigurations involving an arbitrary number of spacecraft.
Keywords: Multiple-spacecraft reconfiguration; state-constrained optimal control; collision avoidance; bouncing; stalemate; heuristic algorithms (search for similar items in EconPapers)
Date: 2004
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1023/B:JOTA.0000042524.57088.8b Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:joptap:v:122:y:2004:i:2:d:10.1023_b:jota.0000042524.57088.8b
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2
DOI: 10.1023/B:JOTA.0000042524.57088.8b
Access Statistics for this article
Journal of Optimization Theory and Applications is currently edited by Franco Giannessi and David G. Hull
More articles in Journal of Optimization Theory and Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().