Spacecraft Trajectory Design Using Data-Driven Model Predictive Control

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

Abstract

This paper focuses on the optimal trajectory design in the circular restricted three-body problem with the aid of powerful data-driven approach, which can address the global nonlinear dynamics. First, the datadriven approach to approximate a Koopman operator of the nonlinear dynamical system is developed and show the constant of the motion can be restored from the time-series data of trajectories. Then two control method exploiting the reconstructed model are derived: the state-dependent Riccati equation approach and port-Hamiltonian control approach. Then, a new method to to approximate a Koopman operator without a priori knowledge about the basis functions is proposed and effectiveness of the algorithm is demonstrated.

Original languageEnglish
Title of host publicationIAF Astrodynamics Symposium 2021 - Held at the 72nd International Astronautical Congress, IAC 2021
PublisherInternational Astronautical Federation, IAF
ISBN (Electronic)9781713843078
Publication statusPublished - 2021
EventIAF Astrodynamics Symposium 2021 at the 72nd International Astronautical Congress, IAC 2021 - Dubai, United Arab Emirates
Duration: Oct 25 2021Oct 29 2021

Publication series

NameProceedings of the International Astronautical Congress, IAC
VolumeC1
ISSN (Print)0074-1795

Conference

ConferenceIAF Astrodynamics Symposium 2021 at the 72nd International Astronautical Congress, IAC 2021
Country/TerritoryUnited Arab Emirates
CityDubai
Period10/25/2110/29/21

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Astronomy and Astrophysics
  • Space and Planetary Science

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