基 于 机 器 学 习 的 航 天 器 规 避 目 标 威 胁 博 弈 决 策

An intelligent decision-making framework and a deep reinforcement learning-based autonomous decision-making method are proposed for the spacecraft decision-making in avoiding the threat of space targets. Taking into ac⁃ count the maneuvering characteristics of space targets and the gameplay of threat avoidance，an intelligent game decision-making framework for spacecraft threat avoidance is proposed based on the Observation-Orientation-Decision-Action（OODA）loop decision-making idea and machine learning techniques. Based on this framework and inference on the motion intentions of space targets，a deep reinforcement learning-based spacecraft maneuver decision-making algorithm and training environment are designed to enable spacecraft decision-making control with game response ca⁃ pability，which realizes the avoidance response to the typical motion intentions of space targets. Furthermore，the generalization of spacecraft autonomous maneuvering decision-making algorithm and its adaptability to possible uncer⁃ tain maneuvers of space targets are improved by using the self-play learning technique. Finally，the effectiveness of our proposed method is verified through simulations.