Reachability Analysis to Track Non-cooperative Satellite in Cislunar Regime

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Space Domain Awareness (SDA) architectures must adapt to overcome the challenges present in cislunar space. Dynamical systems theory provides tools which may be leveraged to address some of the many challenges associated with cislunar space. The PSS is an analysis tool used to reduce dimensionality and help study the properties of the system flow. Invariant manifolds have been combined with the PSS to prescribe trajectories through various cislunar regimes by other researchers. In this work, the PSS and the invariant manifolds are used to pose a set of boundary value problems which define the Δv from a nominal L2 Lyapunov orbit through the PSS. By approximating the solutions through the PSS, the admissible controls onto these highways are approximated. One viable use for this formulation of a reduced reachable set will allow an SDA operator to intelligently task sensors to regain custody of a maneuver spacecraft. This paper examine uses concepts of a admissible region to intelligently reduce the reachability set for maneuver spacecraft and studies the efficacy for multiple maneuver windows and the affects of various user set parameters.

Original languageEnglish (US)
Title of host publicationDynamic Data Driven Applications Systems - 4th International Conference, DDDAS 2022, Proceedings
EditorsErik Blasch, Frederica Darema, Alex Aved
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages9
ISBN (Print)9783031526695
StatePublished - 2024
Event4th International Conference on Dynamic Data Driven Applications Systems, DDDAS 2022 - Cambridge, United States
Duration: Oct 6 2022Oct 10 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13984 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference4th International Conference on Dynamic Data Driven Applications Systems, DDDAS 2022
Country/TerritoryUnited States

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science

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