A New 3D Shaping Method for Low-Thrust Trajectories between Non-Intersect Orbits

This paper proposes a new shape-based method in spherical coordinates to solve three-dimensional rendezvous problems. Compared with the existing shape-based methods, the proposed method does not need parameter optimization. Moreover, it improves the flexibility of orbit fitting, greatly reduces the...

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Autores principales: Tongxin Zhang, Di Wu, Fanghua Jiang, Hong Zhou
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Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/1fd9786fdd634a7482a640aaba0f49e7
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spelling oai:doaj.org-article:1fd9786fdd634a7482a640aaba0f49e72021-11-25T15:57:07ZA New 3D Shaping Method for Low-Thrust Trajectories between Non-Intersect Orbits10.3390/aerospace81103152226-4310https://doaj.org/article/1fd9786fdd634a7482a640aaba0f49e72021-10-01T00:00:00Zhttps://www.mdpi.com/2226-4310/8/11/315https://doaj.org/toc/2226-4310This paper proposes a new shape-based method in spherical coordinates to solve three-dimensional rendezvous problems. Compared with the existing shape-based methods, the proposed method does not need parameter optimization. Moreover, it improves the flexibility of orbit fitting, greatly reduces the velocity increment and maximum thrust acceleration, and ensures the orbit safety to a certain extent. The shaping function can provide the initial estimate for numerical trajectory optimization and improve the convergence rate in a certain range when combined with the normalization method. The superiority of the proposed method over the existing methods is demonstrated by two numerical examples. Its effectiveness at initial estimation generation in the indirect optimization of a low-thrust trajectory is demonstrated by the third example.Tongxin ZhangDi WuFanghua JiangHong ZhouMDPI AGarticlelow-thrust trajectoryshape-based methodindirect methodadjoint variablesorbital rendezvousMotor vehicles. Aeronautics. AstronauticsTL1-4050ENAerospace, Vol 8, Iss 315, p 315 (2021)
institution DOAJ
collection DOAJ
language EN
topic low-thrust trajectory
shape-based method
indirect method
adjoint variables
orbital rendezvous
Motor vehicles. Aeronautics. Astronautics
TL1-4050
spellingShingle low-thrust trajectory
shape-based method
indirect method
adjoint variables
orbital rendezvous
Motor vehicles. Aeronautics. Astronautics
TL1-4050
Tongxin Zhang
Di Wu
Fanghua Jiang
Hong Zhou
A New 3D Shaping Method for Low-Thrust Trajectories between Non-Intersect Orbits
description This paper proposes a new shape-based method in spherical coordinates to solve three-dimensional rendezvous problems. Compared with the existing shape-based methods, the proposed method does not need parameter optimization. Moreover, it improves the flexibility of orbit fitting, greatly reduces the velocity increment and maximum thrust acceleration, and ensures the orbit safety to a certain extent. The shaping function can provide the initial estimate for numerical trajectory optimization and improve the convergence rate in a certain range when combined with the normalization method. The superiority of the proposed method over the existing methods is demonstrated by two numerical examples. Its effectiveness at initial estimation generation in the indirect optimization of a low-thrust trajectory is demonstrated by the third example.
format article
author Tongxin Zhang
Di Wu
Fanghua Jiang
Hong Zhou
author_facet Tongxin Zhang
Di Wu
Fanghua Jiang
Hong Zhou
author_sort Tongxin Zhang
title A New 3D Shaping Method for Low-Thrust Trajectories between Non-Intersect Orbits
title_short A New 3D Shaping Method for Low-Thrust Trajectories between Non-Intersect Orbits
title_full A New 3D Shaping Method for Low-Thrust Trajectories between Non-Intersect Orbits
title_fullStr A New 3D Shaping Method for Low-Thrust Trajectories between Non-Intersect Orbits
title_full_unstemmed A New 3D Shaping Method for Low-Thrust Trajectories between Non-Intersect Orbits
title_sort new 3d shaping method for low-thrust trajectories between non-intersect orbits
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/1fd9786fdd634a7482a640aaba0f49e7
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