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Adaptive Orbital Rendezvous Control of Multiple Satellites Based on Pulsar Positioning Strategy

This paper addresses the orbital rendezvous control for multiple uncertain satellites. Against the background of a pulsar-based positioning approach, a geometric trick is applied to determine the position of satellites. A discontinuous estimation algorithm using neighboring communications is propose...

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Detalles Bibliográficos
Autores principales: Chen, Qiang, Zhao, Yong, Yan, Lixia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9140592/
https://www.ncbi.nlm.nih.gov/pubmed/35626460
http://dx.doi.org/10.3390/e24050575
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author Chen, Qiang
Zhao, Yong
Yan, Lixia
author_facet Chen, Qiang
Zhao, Yong
Yan, Lixia
author_sort Chen, Qiang
collection PubMed
description This paper addresses the orbital rendezvous control for multiple uncertain satellites. Against the background of a pulsar-based positioning approach, a geometric trick is applied to determine the position of satellites. A discontinuous estimation algorithm using neighboring communications is proposed to estimate the target’s position and velocity in the Earth’s Centered Inertial Frame for achieving distributed rendezvous control. The variables generated by the dynamic estimation are viewed as virtual reference trajectories for each satellite in the group, followed by a novel saturation-like adaptive control law with the assumption that the masses of satellites are unknown and time-varying. The rendezvous errors are proven to be convergent to zero asymptotically. Numerical simulations considering the measurement fluctuations validate the effectiveness of the proposed control law.
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spelling pubmed-91405922022-05-28 Adaptive Orbital Rendezvous Control of Multiple Satellites Based on Pulsar Positioning Strategy Chen, Qiang Zhao, Yong Yan, Lixia Entropy (Basel) Article This paper addresses the orbital rendezvous control for multiple uncertain satellites. Against the background of a pulsar-based positioning approach, a geometric trick is applied to determine the position of satellites. A discontinuous estimation algorithm using neighboring communications is proposed to estimate the target’s position and velocity in the Earth’s Centered Inertial Frame for achieving distributed rendezvous control. The variables generated by the dynamic estimation are viewed as virtual reference trajectories for each satellite in the group, followed by a novel saturation-like adaptive control law with the assumption that the masses of satellites are unknown and time-varying. The rendezvous errors are proven to be convergent to zero asymptotically. Numerical simulations considering the measurement fluctuations validate the effectiveness of the proposed control law. MDPI 2022-04-19 /pmc/articles/PMC9140592/ /pubmed/35626460 http://dx.doi.org/10.3390/e24050575 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chen, Qiang
Zhao, Yong
Yan, Lixia
Adaptive Orbital Rendezvous Control of Multiple Satellites Based on Pulsar Positioning Strategy
title Adaptive Orbital Rendezvous Control of Multiple Satellites Based on Pulsar Positioning Strategy
title_full Adaptive Orbital Rendezvous Control of Multiple Satellites Based on Pulsar Positioning Strategy
title_fullStr Adaptive Orbital Rendezvous Control of Multiple Satellites Based on Pulsar Positioning Strategy
title_full_unstemmed Adaptive Orbital Rendezvous Control of Multiple Satellites Based on Pulsar Positioning Strategy
title_short Adaptive Orbital Rendezvous Control of Multiple Satellites Based on Pulsar Positioning Strategy
title_sort adaptive orbital rendezvous control of multiple satellites based on pulsar positioning strategy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9140592/
https://www.ncbi.nlm.nih.gov/pubmed/35626460
http://dx.doi.org/10.3390/e24050575
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