High-precision on-orbit real-time orbital maneuver decision

被引：0

作者：

Xie S. ^{[1
]}

Dong Y. ^{[1
]}

机构：

[1] School of Astronautics, Beihang University, Beijing

来源：

Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics | 2021年 / 47卷 / 07期

关键词：

Lambert maneuver; Machine learning; Neural networks; Orbital maneuver; Perturbation correction;

D O I：

10.13700/j.bh.1001-5965.2020.0195

中图分类号：

学科分类号：

摘要：

In order to ensure the real-time maneuverability and high-precision requirements of orbital maneuver, a real-time maneuver decision-making method based on machine learning is proposed. The optimal solution under perturbation is obtained offline through the optimization algorithm. The two-body solution is subtracted to obtain the speed increment difference, which is projected onto the orbital system to obtain the speed increment perturbation correction term, which is used as the output of the neural network. The network parameters are designed and trained to obtain perturbation correction network. The combination of perturbation correction network and two-body solution is used to achieve high-precision real-time orbital maneuver decision. The simulation results show that the terminal position deviation after the completion of the maneuver according to the decision is consistent with the accuracy of the terminal position deviation after the completion of the decision maneuver according to the optimization algorithm, and the former decision time is only about 0.01% of the latter decision time. The orbital maneuver decision-making method proposed in this paper takes into account both accuracy and real-time performance, and is suitable for on-board decision-making. © 2021, Editorial Board of JBUAA. All right reserved.

引用

页码：1407 / 1413

页数：6

共 17 条

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