Artificial Neural Networks for Control and Propagation of Low-Thrust Trajectories

被引：0

作者：

Sorokin, A. V. ^{[1
]}

Shirobokov, M. G. ^{[2
]}

Trofimov, S. P. ^{[2
]}

机构：

[1] Moscow Inst Phys & Technol, Moscow, Russia

[2] Keldysh Inst Appl Math, Moscow, Russia

来源：

XLIII ACADEMIC SPACE CONFERENCE, DEDICATED TO THE MEMORY OF ACADEMICIAN S P KOROLEV AND OTHER OUTSTANDING RUSSIAN SCIENTISTS - PIONEERS OF SPACE EXPLORATION | 2019年 / 2171卷

基金：

俄罗斯基础研究基金会;

关键词：

OPTIMIZATION; SPACECRAFT;

D O I：

10.1063/1.5133368

中图分类号：

P1 [天文学];

学科分类号：

0704 ;

摘要：

The work is devoted to the design of artificial neural networks which can be used for the orbital control of a spacecraft equipped with a low-thrust engine. The problem of energy-optimal transfer between two points is considered. Two neural networks are constructed: the predictive one and the controlling one. Their architecture, learning algorithms, and the performance in the presence of unaccounted disturbances are given.

引用

页数：7

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