.png){kind=icon}
返回
Multi-revolution low-thrust trajectory optimization using symplectic methods
.png){kind=icon}
PRE
AI
DOI：10.1007/s11431-019-9511-7.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Optimization of low-thrust trajectories that involve a larger number of orbit revolutions is considered as a challenging problem. This paper describes a high-precision symplectic method and optimization techniques to solve the minimum-energy low-thrust multi-revolution orbit transfer problem. First, the optimal orbit transfer problem is posed as a constrained nonlinear optimal control problem. Then, the constrained nonlinear optimal control problem is converted into an equivalent linear quadratic form near a reference solution. The reference solution is updated iteratively by solving a sequence of linear-quadratic optimal control sub-problems, until convergence. Each sub-problem is solved via a symplectic method in discrete form. To facilitate the convergence of the algorithm, the spacecraft dynamics are expressed via modified equinoctial elements. Interpolating the non-singular equinoctial orbital elements and the spacecraft mass between the initial point and end point is proven beneficial to accelerate the convergence process. Numerical examples reveal that the proposed method displays high accuracy and efficiency.
Keyword:
low-thrust
trajectory optimization
symplectic method
multi-revolution transfers
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
4.9
论文数:
5.0K
被引数:
9.9K
机构
引用论文
MAJOR INFLUENCES ON POLICY–MAKING: THE PERCEPTIONS OF STATE ECONOMIC DEVELOPMENT ADMINISTRATORS
PREAI
分享收藏Application of the method of lines to the analysis of single fluid-solid reactions in porous solids
PREAI
分享收藏Winter survival and breeding success of dominant and subordinate Willow Tits Parus montanus.png)
Ibis
IbisIF0
PREAI
分享收藏
查看更多内容