REACHABILITY-BASED APPROACH FOR SEARCH AND DETECTION OF MANEUVERING CISLUNAR OBJECTS

Zach Hall, David Schwab, Roshan Eapen, Puneet Singla

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

1 Scopus citations

Abstract

With recent and planned missions to cislunar space, there exists a developing need for expanding space domain awareness to include cislunar space. Detection, tracking, and maneuver reconstruction in Earth orbits is already a difficult task and is exponentially more difficult in the cislunar domain given the shear volume and the chaotic nature of the three-body problem. Additionally, many of these methods assume that measurements of the target spacecraft are readily available. The focus of this work is to examine the utility of the recently developed reachability set search (RSS) algorithm in regaining custody of a cislunar target lost due to an unknown, bounded maneuver. The objective of in this work is to numerically define a Taylor series approximation to the reachability set of a cislunar spacecraft given a priori knowledge on only the maximum ∆v and a window for the time-of-maneuver, optimally search the reachability set, and perform state estimate and maneuver reconstruction following detection of the target. This algorithm is tested two scenarios: a L1 halo orbit and a L2 Lyapunov to L1 Lyapunov transfer with 10.25 m/s and 100 m/s maneuver capabilities, respectively. The RSS algorithm proves effective assuming accurate reachability set approximations, which is a function of the order of the polynomial approximation, volume of the true reachable space, and proximity to the lunar singularity.

Original languageEnglish (US)
Title of host publicationAIAA SciTech Forum 2022
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)9781624106316
DOIs
StatePublished - 2022
EventAIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022 - San Diego, United States
Duration: Jan 3 2022Jan 7 2022

Publication series

NameAIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022

Conference

ConferenceAIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022
Country/TerritoryUnited States
CitySan Diego
Period1/3/221/7/22

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering

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