NSGA-III Based Trajectory Optimization for Landing in Planetary Pits

Shao Guo, Runqi Chai

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Exploring the moon has always been a popular topic among researchers. With the discovery of pits on the moon, researchers have another different option to further explore the moon. But landing in the lunar pits will be much more difficult than landing on the moon's surface. To solve this problem, the paper proposes an NSGA-III based spacecraft trajectory optimization method for landing in planetary pits based on the discretization of the original problem. Firstly, according to the discretization model of the original problem, the chromosome of each individual is initialized into a fixed-length thrust sequence, so that we can then apply a randomly generated thrust sequence to calculate the path of each individual. Then, an NSGA-III based spacecraft landing trajectory optimization method is proposed to optimize the fuel consumption and the landing speed by improving the thrust provided by the engine along the landing path. In addition, the CV-first non-dominated sorting method is adopted to ensure the feasibility of the solution obtained by the method. Finally, the simulation of the proposed method is performed and the results show its efficiency and feasibility in solving pit landing trajectory optimization problems.

源语言英语
主期刊名2023 42nd Chinese Control Conference, CCC 2023
出版商IEEE Computer Society
9271-9276
页数6
ISBN(电子版)9789887581543
DOI
出版状态已出版 - 2023
活动42nd Chinese Control Conference, CCC 2023 - Tianjin, 中国
期限: 24 7月 202326 7月 2023

出版系列

姓名Chinese Control Conference, CCC
2023-July
ISSN(印刷版)1934-1768
ISSN(电子版)2161-2927

会议

会议42nd Chinese Control Conference, CCC 2023
国家/地区中国
Tianjin
时期24/07/2326/07/23

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