Integrated planning of on-orbit events and transport visits for long-term space station operation

被引:0
|
作者
Zhang J. [1 ]
Zhu Y. [1 ]
Luo Y. [1 ]
机构
[1] College of Aerospace Science, National University of Defense Technology, Changsha
关键词
Evolutionary algorithm; Operation mission; Space-station; Top-level planning;
D O I
10.1360/SST-2021-0057
中图分类号
学科分类号
摘要
Space station overall operation planning is a problem with large-scale variables and complex constraints, including transport launch scheduling, on-orbit event allocation, and logistics planning. Previous studies have only focused on one of these sub-problems. Thus, in this paper, an integrated planning method is proposed to obtain a comprehensive scheme by considering the coupling between all sub-problems. First, the conceptual model is constructed to mathematically describe the attributes of the planning objects and their internal relations. Second, a decomposition-based method is proposed to link sub-problems to obtain a single feasible solution. Finally, the problem is optimized based on the evolutionary algorithm, and an improvement strategy for evolutionary operators is proposed to overcome the efficiency limitation when optimizing the problem comprising several sub-problems with different design variable scales. A case study demonstrates that the mathematical model can resolve the complex constraints among multiple subproblems effectively. In addition, applying the evolutionary strategy to the compound problem can improve optimization efficiency significantly. © 2022, Science Press. All right reserved.
引用
收藏
页码:651 / 666
页数:15
相关论文
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