Elm-based actor-critic approach to lyapunov vector fields relative motion guidance in near-rectilinear orbits

Andrea Scorsoglio, Roberto Furfaro

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

1 Scopus citations


In this paper, we present a new feedback guidance algorithm for autonomous docking maneuvers in the cislunar environment. In particular, we propose a closed-loop optimal guidance algorithm that is capable of taking path constraints and collision avoidance into account while being on a Near Rectilinear Orbit (NRO) around the L2 Lagrangian point in the Earth-Moon system. The algorithm is based on the Lyapunov vector field guidance where the acceleration command is derived from a desired velocity vector field. We use reinforcement learning to learn the shape of the field as a function of the state of the system, allowing for increased flexibility in terms of constraint shapes and better performance in terms of fuel consumption with respect to classical Lyapunov vector field guidance.

Original languageEnglish (US)
Title of host publicationAAS/AIAA Astrodynamics Specialist Conference, 2019
EditorsKenneth R. Horneman, Christopher Scott, Brian W. Hansen, Islam I. Hussein
PublisherUnivelt Inc.
Number of pages17
ISBN (Print)9780877036654
StatePublished - 2020
EventAAS/AIAA Astrodynamics Specialist Conference, 2019 - Portland, United States
Duration: Aug 11 2019Aug 15 2019

Publication series

NameAdvances in the Astronautical Sciences
ISSN (Print)0065-3438


ConferenceAAS/AIAA Astrodynamics Specialist Conference, 2019
Country/TerritoryUnited States

ASJC Scopus subject areas

  • Aerospace Engineering
  • Space and Planetary Science


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