Time-delayed Dynamic Mode Decomposition for families of periodic trajectories in Cislunar Space

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Hauptverfasser: Narayanan, Sriram, Mohamed, Mohamed Naveed Gul, Nayak, Indranil, Chakravorty, Suman, Kumar, Mrinal
Format: Preprint
Veröffentlicht: 2024
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author Narayanan, Sriram
Mohamed, Mohamed Naveed Gul
Nayak, Indranil
Chakravorty, Suman
Kumar, Mrinal
author_facet Narayanan, Sriram
Mohamed, Mohamed Naveed Gul
Nayak, Indranil
Chakravorty, Suman
Kumar, Mrinal
contents In recent years, the development of the Lunar Gateway and Artemis missions has renewed interest in lunar exploration, including both manned and unmanned missions. This interest necessitates accurate initial orbit determination (IOD) and orbit prediction (OP) in this domain, which faces significant challenges such as severe nonlinearity, sensitivity to initial conditions, large state-space volume, and sparse, faint, and unreliable measurements. This paper explores the capability of data-driven Koopman operator-based approximations for OP in these scenarios. Three stable periodic trajectories from distinct cislunar families are analyzed. The analysis includes theoretical justification for using a linear time-invariant system as the data-driven surrogate. This theoretical framework is supported by experimental validation. Furthermore, the accuracy is assessed by comparing the spectral content captured to period estimates derived from the fast Fourier transform (FFT) and Poincare-like sections.
format Preprint
id arxiv_https___arxiv_org_abs_2411_06511
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Time-delayed Dynamic Mode Decomposition for families of periodic trajectories in Cislunar Space
Narayanan, Sriram
Mohamed, Mohamed Naveed Gul
Nayak, Indranil
Chakravorty, Suman
Kumar, Mrinal
Systems and Control
Dynamical Systems
In recent years, the development of the Lunar Gateway and Artemis missions has renewed interest in lunar exploration, including both manned and unmanned missions. This interest necessitates accurate initial orbit determination (IOD) and orbit prediction (OP) in this domain, which faces significant challenges such as severe nonlinearity, sensitivity to initial conditions, large state-space volume, and sparse, faint, and unreliable measurements. This paper explores the capability of data-driven Koopman operator-based approximations for OP in these scenarios. Three stable periodic trajectories from distinct cislunar families are analyzed. The analysis includes theoretical justification for using a linear time-invariant system as the data-driven surrogate. This theoretical framework is supported by experimental validation. Furthermore, the accuracy is assessed by comparing the spectral content captured to period estimates derived from the fast Fourier transform (FFT) and Poincare-like sections.
title Time-delayed Dynamic Mode Decomposition for families of periodic trajectories in Cislunar Space
topic Systems and Control
Dynamical Systems
url https://arxiv.org/abs/2411.06511