Satellite attitude tracking control of moving targets combining deep reinforcement learning and predefined-time stability considering energy optimization

•An attitude tracking control method combining deep reinforcement learning and traditional satellite attitude controller for moving targets tracking and observation is proposed.•Integrate LSTM into TD3 to learn the moving state of the target from its image positions and obtain desired attitude in re...

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Veröffentlicht in:	Advances in space research Jg. 69; H. 5; S. 2182 - 2196
Hauptverfasser:	Shi, Zhong, Zhao, Fanyu, Wang, Xin, Jin, Zhonghe
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.03.2022
Schlagworte:	Attitude tracking control Moving target tracking Predefined-time stability Twin delayed deep deterministic policy gradient algorithm Predefined-time stability Attitude tracking control Moving target tracking Twin delayed deep deterministic policy gradient algorithm
ISSN:	0273-1177, 1879-1948
Online-Zugang:	Volltext
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