Robust space trajectory design using belief optimal control

Tools

Greco, Cristian and Campagnola, Stefano and Vasile, Massimiliano (2022) Robust space trajectory design using belief optimal control. Journal of Guidance, Control and Dynamics, 45 (6). pp. 1060-1077. ISSN 1533-3884 (https://doi.org/10.2514/1.G005704)

[thumbnail of Greco-etal-JGCD-2022-Robust-space-trajectory-design-using-belief-optimal-control]
Preview
 Text. Filename: Greco_etal_JGCD_2022_Robust_space_trajectory_design_using_belief_optimal_control.pdf
Accepted Author Manuscript
License: Strathprints license 1.0
Download (2MB)| Preview

Abstract

This paper presents a novel approach to the robust solution of optimal impulsive control problems under aleatory and epistemic uncertainty. The novel approach uses belief Markov decision processes to reformulate the control problem in terms of uncertainty distributions, called beliefs, rather than the realizations of the system states. This formulation leads to the definition of a belief optimal control problem where the cost function and constraints are functions of the uncertainty distributions. The control formulation encompasses orbit determination arcs as well. The belief optimization is solved with a shooting-like transcription and a nonlinear programming solver to optimize the resulting discretized problem. Both aleatory and epistemic uncertainties are propagated with a nonintrusive polynomial expansion to capture the nonlinearities of the dynamics. Finally, this new approach is applied to the robust optimization of a flyby trajectory of the Europa Clipper mission in a scenario characterized by knowledge, execution, and observation uncertainty.

ORCID iDs

Greco, Cristian ORCID logoORCID: https://orcid.org/0000-0001-5996-2114, Campagnola, Stefano and Vasile, Massimiliano ORCID logoORCID: https://orcid.org/0000-0001-8302-6465;
CORE (COnnecting REpositories)