Robust Model Predictive Control for an Ion Beam Shepherd in a large-debris removal mission

The increasing accumulation of space debris poses significant risks to spacecraft, making the development of effective debris mitigation technologies necessary. This paper explores the Ion Beam Shepherd (IBS) method as a potential contactless solution for deorbiting large debris objects. The IBS sys...

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Autores: Urrios Gómez, Francisco Javier, Vázquez Valenzuela, Rafael, Gavilán Jiménez, Francisco, Alvarado Aldea, Ignacio
Tipo de documento: artigo
Estado:Versão publicada
Data de publicação:2024
País:España
Recursos:Universidad de Sevilla (US)
Repositório:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/167365
Acesso em linha:https://hdl.handle.net/11441/167365
https://doi.org/10.1016/j.actaastro.2024.09.054
Access Level:Acceso aberto
Palavra-chave:Active debris removal
Ion Beam Shepherd
Model Predictive Control
Robust control
Ray-marching
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spelling Robust Model Predictive Control for an Ion Beam Shepherd in a large-debris removal missionUrrios Gómez, Francisco JavierVázquez Valenzuela, RafaelGavilán Jiménez, FranciscoAlvarado Aldea, IgnacioActive debris removalIon Beam ShepherdModel Predictive ControlRobust controlRay-marchingThe increasing accumulation of space debris poses significant risks to spacecraft, making the development of effective debris mitigation technologies necessary. This paper explores the Ion Beam Shepherd (IBS) method as a potential contactless solution for deorbiting large debris objects. The IBS system concept involves a spacecraft equipped with an ion thruster to direct a controlled ion beam at the debris, generating a small force that gradually lowers its orbit. A proposed configuration of the chaser’s actuator system integrates radial and out-of-plane cold-gas thrusters along with in-track ion thrusters to enhance control and safety while maintaining low mission costs. A robust Model Predictive Control (MPC) strategy is implemented, using the theory of MPC for Tracking to ensure accurate positioning and effective deorbiting. This theoretical approach addresses uncertainties and perturbations to robustly guarantee safe distances between the chaser and the debris. Additionally, a new ray-marching-based algorithm is introduced to estimate the force and torque exerted by the ion beam on the target, considered as a 6 degrees of freedom object, improving simulation accuracy and control performance assessment. A comprehensive simulation of the deorbit of a large debris object is performed, demonstrating the potential of the IBS technology for future large-debris removal missions. This research advances the conceptual framework and control techniques for the IBS technology, advancing towards its future implementation in space debris mitigation.Ministerio de Ciencia, Innovación y Universidades TED2021-132099B-C33Unión EuropeaElsevierIngeniería Aeroespacial y Mecánica de FluidosIngeniería de Sistemas y AutomáticaMinisterio de Ciencia, Innovación y Universidades (MICINN). EspañaEuropean Union (UE)2024info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/167365https://doi.org/10.1016/j.actaastro.2024.09.054reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésActa Astronautica, 225, 689-706.TED2021-132099B-C33https://www.sciencedirect.com/science/article/pii/S0094576524005563info:eu-repo/semantics/openAccessoai:idus.us.es:11441/1673652026-06-17T12:51:07Z
dc.title.none.fl_str_mv Robust Model Predictive Control for an Ion Beam Shepherd in a large-debris removal mission
title Robust Model Predictive Control for an Ion Beam Shepherd in a large-debris removal mission
spellingShingle Robust Model Predictive Control for an Ion Beam Shepherd in a large-debris removal mission
Urrios Gómez, Francisco Javier
Active debris removal
Ion Beam Shepherd
Model Predictive Control
Robust control
Ray-marching
title_short Robust Model Predictive Control for an Ion Beam Shepherd in a large-debris removal mission
title_full Robust Model Predictive Control for an Ion Beam Shepherd in a large-debris removal mission
title_fullStr Robust Model Predictive Control for an Ion Beam Shepherd in a large-debris removal mission
title_full_unstemmed Robust Model Predictive Control for an Ion Beam Shepherd in a large-debris removal mission
title_sort Robust Model Predictive Control for an Ion Beam Shepherd in a large-debris removal mission
dc.creator.none.fl_str_mv Urrios Gómez, Francisco Javier
Vázquez Valenzuela, Rafael
Gavilán Jiménez, Francisco
Alvarado Aldea, Ignacio
author Urrios Gómez, Francisco Javier
author_facet Urrios Gómez, Francisco Javier
Vázquez Valenzuela, Rafael
Gavilán Jiménez, Francisco
Alvarado Aldea, Ignacio
author_role author
author2 Vázquez Valenzuela, Rafael
Gavilán Jiménez, Francisco
Alvarado Aldea, Ignacio
author2_role author
author
author
dc.contributor.none.fl_str_mv Ingeniería Aeroespacial y Mecánica de Fluidos
Ingeniería de Sistemas y Automática
Ministerio de Ciencia, Innovación y Universidades (MICINN). España
European Union (UE)
dc.subject.none.fl_str_mv Active debris removal
Ion Beam Shepherd
Model Predictive Control
Robust control
Ray-marching
topic Active debris removal
Ion Beam Shepherd
Model Predictive Control
Robust control
Ray-marching
description The increasing accumulation of space debris poses significant risks to spacecraft, making the development of effective debris mitigation technologies necessary. This paper explores the Ion Beam Shepherd (IBS) method as a potential contactless solution for deorbiting large debris objects. The IBS system concept involves a spacecraft equipped with an ion thruster to direct a controlled ion beam at the debris, generating a small force that gradually lowers its orbit. A proposed configuration of the chaser’s actuator system integrates radial and out-of-plane cold-gas thrusters along with in-track ion thrusters to enhance control and safety while maintaining low mission costs. A robust Model Predictive Control (MPC) strategy is implemented, using the theory of MPC for Tracking to ensure accurate positioning and effective deorbiting. This theoretical approach addresses uncertainties and perturbations to robustly guarantee safe distances between the chaser and the debris. Additionally, a new ray-marching-based algorithm is introduced to estimate the force and torque exerted by the ion beam on the target, considered as a 6 degrees of freedom object, improving simulation accuracy and control performance assessment. A comprehensive simulation of the deorbit of a large debris object is performed, demonstrating the potential of the IBS technology for future large-debris removal missions. This research advances the conceptual framework and control techniques for the IBS technology, advancing towards its future implementation in space debris mitigation.
publishDate 2024
dc.date.none.fl_str_mv 2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/11441/167365
https://doi.org/10.1016/j.actaastro.2024.09.054
url https://hdl.handle.net/11441/167365
https://doi.org/10.1016/j.actaastro.2024.09.054
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Acta Astronautica, 225, 689-706.
TED2021-132099B-C33
https://www.sciencedirect.com/science/article/pii/S0094576524005563
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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