The invention provides a flight conflict autonomous resolution method under a flight path uncertainty condition, and belongs to the field of air traffic management. Firstly, building a probability reachable model of flight tracks of a plurality of aircrafts in a target area on the ground; and fitting parameters of the prediction probability reachable model by using historical flight path data of each aircraft to obtain flight path probability distribution of each aircraft. Then, conflict judgment is performed according to the track probability distribution of each aircraft, and an autonomous decision-making model for aircraft conflict resolution is constructed; and finally, solving the autonomous decision-making model by adopting a multi-agent depth deterministic strategy gradient algorithm to obtain an optimal rerouting point set A when the n aircrafts conflict under the condition of track uncertainty. According to the method, the flight path probability distribution of the aircraft is acquired in advance by utilizing a data driving method, so that the medium-and-long-term airborne end flight path prediction is realized quickly.
本发明提出一种航迹不确定性条件下的飞行冲突自主解脱方法,属于空中交通管理领域;具体是:首先,在地面搭建目标区域内的若干航空器飞行航迹的概率可达模型;利用各航空器的历史航迹数据拟合预测概率可达模型的参数,得到各航空器的航迹概率分布。然后,根据各航空器的航迹概率分布进行冲突判定,构建航空器冲突解脱的自主决策模型。最后,采用多智能体深度确定性策略梯度算法,对自主决策模型进行求解,得到在航迹不确定性条件下的n架航空器冲突时最优的改航点集合A。本发明利用数据驱动的方法提前获取航空器航迹概率分布,从而实现快速的中长期机载端航迹预测。
Flight conflict autonomous resolution method under flight path uncertainty condition
一种航迹不确定性条件下的飞行冲突自主解脱方法
2022-04-19
Patent
Electronic Resource
Chinese
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