Cargando…

Parameterization of Fuel-Optimal Synchronous Approach Trajectories to Tumbling Targets

Docking with potentially tumbling Targets is a common element of many mission architectures, including on-orbit servicing and active debris removal. This paper studies synchronized docking trajectories as a way to ensure the Chaser satellite remains on the docking axis of the tumbling Target, thereb...

Descripción completa

Detalles Bibliográficos
Autores principales: Sternberg, David Charles, Miller, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805820/
https://www.ncbi.nlm.nih.gov/pubmed/33500919
http://dx.doi.org/10.3389/frobt.2018.00033
_version_ 1783636387886530560
author Sternberg, David Charles
Miller, David
author_facet Sternberg, David Charles
Miller, David
author_sort Sternberg, David Charles
collection PubMed
description Docking with potentially tumbling Targets is a common element of many mission architectures, including on-orbit servicing and active debris removal. This paper studies synchronized docking trajectories as a way to ensure the Chaser satellite remains on the docking axis of the tumbling Target, thereby reducing collision risks and enabling persistent onboard sensing of the docking location. Chaser satellites have limited computational power available to them and the time allowed for the determination of a fuel optimal trajectory may be limited. Consequently, parameterized trajectories that approximate the fuel optimal trajectory while following synchronous approaches may be used to provide a computationally efficient means of determining near optimal trajectories to a tumbling Target. This paper presents a method of balancing the computation cost with the added fuel expenditure required for parameterization, including the selection of a parameterization scheme, the number of parameters in the parameterization, and a means of incorporating the dynamics of a tumbling satellite into the parameterization process. Comparisons of the parameterized trajectories are made with the fuel optimal trajectory, which is computed through the numerical propagation of Euler’s equations. Additionally, various tumble types are considered to demonstrate the efficacy of the presented computation scheme. With this parameterized trajectory determination method, Chaser satellites may perform terminal approach and docking maneuvers with both fuel and computational efficiency.
format Online
Article
Text
id pubmed-7805820
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-78058202021-01-25 Parameterization of Fuel-Optimal Synchronous Approach Trajectories to Tumbling Targets Sternberg, David Charles Miller, David Front Robot AI Robotics and AI Docking with potentially tumbling Targets is a common element of many mission architectures, including on-orbit servicing and active debris removal. This paper studies synchronized docking trajectories as a way to ensure the Chaser satellite remains on the docking axis of the tumbling Target, thereby reducing collision risks and enabling persistent onboard sensing of the docking location. Chaser satellites have limited computational power available to them and the time allowed for the determination of a fuel optimal trajectory may be limited. Consequently, parameterized trajectories that approximate the fuel optimal trajectory while following synchronous approaches may be used to provide a computationally efficient means of determining near optimal trajectories to a tumbling Target. This paper presents a method of balancing the computation cost with the added fuel expenditure required for parameterization, including the selection of a parameterization scheme, the number of parameters in the parameterization, and a means of incorporating the dynamics of a tumbling satellite into the parameterization process. Comparisons of the parameterized trajectories are made with the fuel optimal trajectory, which is computed through the numerical propagation of Euler’s equations. Additionally, various tumble types are considered to demonstrate the efficacy of the presented computation scheme. With this parameterized trajectory determination method, Chaser satellites may perform terminal approach and docking maneuvers with both fuel and computational efficiency. Frontiers Media S.A. 2018-04-05 /pmc/articles/PMC7805820/ /pubmed/33500919 http://dx.doi.org/10.3389/frobt.2018.00033 Text en Copyright © 2018 Sternberg and Miller. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Robotics and AI
Sternberg, David Charles
Miller, David
Parameterization of Fuel-Optimal Synchronous Approach Trajectories to Tumbling Targets
title Parameterization of Fuel-Optimal Synchronous Approach Trajectories to Tumbling Targets
title_full Parameterization of Fuel-Optimal Synchronous Approach Trajectories to Tumbling Targets
title_fullStr Parameterization of Fuel-Optimal Synchronous Approach Trajectories to Tumbling Targets
title_full_unstemmed Parameterization of Fuel-Optimal Synchronous Approach Trajectories to Tumbling Targets
title_short Parameterization of Fuel-Optimal Synchronous Approach Trajectories to Tumbling Targets
title_sort parameterization of fuel-optimal synchronous approach trajectories to tumbling targets
topic Robotics and AI
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805820/
https://www.ncbi.nlm.nih.gov/pubmed/33500919
http://dx.doi.org/10.3389/frobt.2018.00033
work_keys_str_mv AT sternbergdavidcharles parameterizationoffueloptimalsynchronousapproachtrajectoriestotumblingtargets
AT millerdavid parameterizationoffueloptimalsynchronousapproachtrajectoriestotumblingtargets