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Continuous Low-Thrust Maneuver Planning for Space Gravitational Wave Formation Reconfiguration Based on Improved Particle Swarm Optimization Algorithm

This study proposes a three-spacecraft formation reconfiguration strategy of minimum fuel for space gravitational wave detection missions in the high Earth orbit (10(5) km). For solving the limitations of measurement and communication in long baseline formations, a control strategy of a virtual form...

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Detalles Bibliográficos
Autores principales: Lu, Zhenkun, Wang, Jihe, Lian, Xiaobin, Zhang, Juzheng, Zhang, Yu, Yang, Jikun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10052693/
https://www.ncbi.nlm.nih.gov/pubmed/36991865
http://dx.doi.org/10.3390/s23063154
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author Lu, Zhenkun
Wang, Jihe
Lian, Xiaobin
Zhang, Juzheng
Zhang, Yu
Yang, Jikun
author_facet Lu, Zhenkun
Wang, Jihe
Lian, Xiaobin
Zhang, Juzheng
Zhang, Yu
Yang, Jikun
author_sort Lu, Zhenkun
collection PubMed
description This study proposes a three-spacecraft formation reconfiguration strategy of minimum fuel for space gravitational wave detection missions in the high Earth orbit (10(5) km). For solving the limitations of measurement and communication in long baseline formations, a control strategy of a virtual formation is applied. The virtual reference spacecraft provides a desired relative state between the satellites, which is then used to control the motion of the physical spacecraft to maintain the desired formation. A linear dynamics model based on relative orbit elements’ parameterization is used to describe the relative motion in the virtual formation, which facilitates the inclusion of J(2), SRP, and lunisolar third-body gravity effects and provides a direct insight into the relative motion geometry. Considering the actual flight scenarios of gravitational wave formations, a formation reconfiguration strategy based on continuous low thrust is investigated to achieve the desired state at a given time while minimizing interference to the satellite platform. The reconfiguration problem is considered a constrained nonlinear programming problem, and an improved particle swarm algorithm is developed to solve this problem. Finally, the simulation results demonstrate the performance of the proposed method in improving the maneuver sequence distribution and optimizing maneuver consumption.
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spelling pubmed-100526932023-03-30 Continuous Low-Thrust Maneuver Planning for Space Gravitational Wave Formation Reconfiguration Based on Improved Particle Swarm Optimization Algorithm Lu, Zhenkun Wang, Jihe Lian, Xiaobin Zhang, Juzheng Zhang, Yu Yang, Jikun Sensors (Basel) Article This study proposes a three-spacecraft formation reconfiguration strategy of minimum fuel for space gravitational wave detection missions in the high Earth orbit (10(5) km). For solving the limitations of measurement and communication in long baseline formations, a control strategy of a virtual formation is applied. The virtual reference spacecraft provides a desired relative state between the satellites, which is then used to control the motion of the physical spacecraft to maintain the desired formation. A linear dynamics model based on relative orbit elements’ parameterization is used to describe the relative motion in the virtual formation, which facilitates the inclusion of J(2), SRP, and lunisolar third-body gravity effects and provides a direct insight into the relative motion geometry. Considering the actual flight scenarios of gravitational wave formations, a formation reconfiguration strategy based on continuous low thrust is investigated to achieve the desired state at a given time while minimizing interference to the satellite platform. The reconfiguration problem is considered a constrained nonlinear programming problem, and an improved particle swarm algorithm is developed to solve this problem. Finally, the simulation results demonstrate the performance of the proposed method in improving the maneuver sequence distribution and optimizing maneuver consumption. MDPI 2023-03-15 /pmc/articles/PMC10052693/ /pubmed/36991865 http://dx.doi.org/10.3390/s23063154 Text en © 2023 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
Lu, Zhenkun
Wang, Jihe
Lian, Xiaobin
Zhang, Juzheng
Zhang, Yu
Yang, Jikun
Continuous Low-Thrust Maneuver Planning for Space Gravitational Wave Formation Reconfiguration Based on Improved Particle Swarm Optimization Algorithm
title Continuous Low-Thrust Maneuver Planning for Space Gravitational Wave Formation Reconfiguration Based on Improved Particle Swarm Optimization Algorithm
title_full Continuous Low-Thrust Maneuver Planning for Space Gravitational Wave Formation Reconfiguration Based on Improved Particle Swarm Optimization Algorithm
title_fullStr Continuous Low-Thrust Maneuver Planning for Space Gravitational Wave Formation Reconfiguration Based on Improved Particle Swarm Optimization Algorithm
title_full_unstemmed Continuous Low-Thrust Maneuver Planning for Space Gravitational Wave Formation Reconfiguration Based on Improved Particle Swarm Optimization Algorithm
title_short Continuous Low-Thrust Maneuver Planning for Space Gravitational Wave Formation Reconfiguration Based on Improved Particle Swarm Optimization Algorithm
title_sort continuous low-thrust maneuver planning for space gravitational wave formation reconfiguration based on improved particle swarm optimization algorithm
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10052693/
https://www.ncbi.nlm.nih.gov/pubmed/36991865
http://dx.doi.org/10.3390/s23063154
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