Learning-Based 6-DOF Control for Autonomous Proximity Operations Under Motion Constraints

This article proposes areinforcement learning (RL)-based six-degree-of-freedom (6-DOF) control scheme for the final-phase proximity operations of spacecraft. The main novelty of the proposed method are from two aspects: 1) The closed-loop performance can be improved in real-time through the RL techn...

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Veröffentlicht in:	IEEE transactions on aerospace and electronic systems 2021-12, Vol.57 (6), p.4097-4109
Hauptverfasser:	Hu, Qinglei, Yang, Haoyang, Dong, Hongyang, Zhao, Xiaowei
Format:	Artikel
Sprache:	eng
Schlagworte:	Aerodynamics Approximate optimal control constrained 6-DOF control Constraint modelling Cost function Degrees of freedom Distance learning Errors Motion stability Nonlinear dynamics Optimal control Proximity Quaternions Real-time systems Reinforcement learning reinforcement learning (RL) Space vehicles Spacecraft spacecraft proximity operations Stability analysis Task analysis
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