Midcourse correction of Earth-Moon distant retrograde orbit transfer trajectories based on high-order state transition tensors  被引量:2

在线阅读下载全文

作  者:Yongchen Yin Ming Wang Yu Shi Hao Zhang 

机构地区:[1]Technology and Engineering Center for Space Utilization,Chinese Academy of Sciences,Beijing,100094,China [2]University of Chinese Academy of Sciences,Beijing,100049,China [3]Nanjing University of Aeronautics and Astronautics,Nanjing,211106,China

出  处:《Astrodynamics》2023年第3期335-349,共15页航天动力学(英文)

基  金:This work was supported by the National Natural Science Foundation of China(Grant No.12003054);National Key R&D Program of China(Grant No.2022YFC2204700);Strategic Priority Program on Space Science of the Chinese Academy of Sciences(Grant No.XDA30010200).

摘  要:Midcourse correction design is key to space transfers in the cislunar space.Autonomous guidance has garnered significant attention for its promise to decrease the dependence on ground control systems.This study addresses the problem of midcourse corrections for Earth-Moon transfer orbits based on high-order state transition tensors(STTs).The scenarios considered are direct Earth-Moon transfers and low-energy transfers to lunar distant retrograde orbits(DROs),where the latter involve weak stability boundary(WSB)and lunar gravity assist(LGA)techniques.Semi-analytical formulas are provided for computing the trajectory correction maneuvers(TCMs)using high-order STTs derived using the differential algebraic method.Monte Carlo simulations are performed to evaluate the effectiveness of the proposed approach.Compared with existing explicit guidance algorithms,the STT-based approach is much cheaper computationally and features fewer final position errors.These results are promising for fast and efficient orbital autonomous correction guidance approaches in the cislunar space.

关 键 词:cislunar space transfer orbit midcourse correction state transition tensor(STT) Monte Carlo simulation 

分 类 号:O17[理学—数学]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象