Deep-auto-encoder neural-networks based attitude control allocation for over-actuated spacecraft

IF 2.8 3区地球科学 Q2 ASTRONOMY & ASTROPHYSICS

Advances in Space Research Pub Date : 2025-05-05 DOI:10.1016/j.asr.2025.04.077

Yujie Lan, Zhen Chen, Xiaoyu Lang, Xiangdong Liu

引用次数: 0

Abstract

Modern spacecraft attitude control system mostly adopt over-actuated configuration to improve overall performance. It is necessary to consider reducing the energy consumption of the over-actuated system due to the limited on-board power supply. This paper proposes a deep-auto-encoder (DAE) neural-network-based control allocation method for spacecraft attitude control. It can achieve optimal energy consumption with high control allocation accuracy. The DAE network is trained with data generated by the dynamics of actuators. The decoder-part network is a fitting of actuators kinetics, and the encoder-part conducts control allocation. The optimization function of the network is the weighted sum of energy loss and control allocation error. Numerical examples show that the proposed DAE based control allocation method possesses good performance in torque distribution with optimal energy distribution.

查看原文本刊更多论文

现代航天器姿态控制系统多采用过驱动结构，以提高整体性能。由于车载电源有限，有必要考虑降低过致动系统的能耗。提出一种基于深度自编码器（deep-auto-encoder， DAE）神经网络的航天器姿态控制控制分配方法。可实现能耗最优化，控制分配精度高。DAE网络使用执行器动力学产生的数据进行训练。解码器部分网络是执行器动力学的拟合，编码器部分进行控制分配。网络的优化函数是能量损失和控制分配误差的加权和。数值算例表明，所提出的基于DAE的控制分配方法在能量分配最优的转矩分配方面具有良好的性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Advances in Space Research 地学天文-地球科学综合

CiteScore

5.20

自引率

11.50%

发文量

800

审稿时长

5.8 months

期刊介绍： The COSPAR publication Advances in Space Research (ASR) is an open journal covering all areas of space research including: space studies of the Earth''s surface, meteorology, climate, the Earth-Moon system, planets and small bodies of the solar system, upper atmospheres, ionospheres and magnetospheres of the Earth and planets including reference atmospheres, space plasmas in the solar system, astrophysics from space, materials sciences in space, fundamental physics in space, space debris, space weather, Earth observations of space phenomena, etc. NB: Please note that manuscripts related to life sciences as related to space are no more accepted for submission to Advances in Space Research. Such manuscripts should now be submitted to the new COSPAR Journal Life Sciences in Space Research (LSSR). All submissions are reviewed by two scientists in the field. COSPAR is an interdisciplinary scientific organization concerned with the progress of space research on an international scale. Operating under the rules of ICSU, COSPAR ignores political considerations and considers all questions solely from the scientific viewpoint.