Intelligent aircraft collision avoidance method based on reinforcement learning, equipment and medium

Abstract

The invention provides an intelligent aircraft collision avoidance method based on reinforcement learning. The intelligent aircraft collision avoidance method comprises the steps of querying a state,receiving data, calculating a position and receiving a result. The invention relates to electronic equipment and a readable storage medium to execute an intelligent aircraft collision avoidance methodbased on reinforcement learning. According to the method, static and dynamic data of airways and aircrafts are obtained; spatial positions of the aircrafts at n time points in the future are calculated; if the distance between the aircrafts reaches a danger threshold value, a collision avoidance strategy is learned by using a reinforcement learning method; an aircraft flight adjusting instructionis outputted; the aircrafts perform the instructions and update the headings; and an effect evaluation value is calculated and returned. The reinforcement learning algorithm is updated through the effect evaluation value and thus the algorithm is continuously optimized in continuous iterative learning, so that autonomous learning and improvement of the intelligent agent are realized, the dangerous situation of collision is autonomously avoided, and a problem of collision between aircrafts when multiple aircrafts fly at the same time is solved.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a method, device and medium for intelligent collision avoidance of aircraft based on reinforcement learning. Background technique [0002] In recent years, my country's aircraft industry has developed rapidly, and aircrafts have been widely used in military, civilian and other fields. In order to ensure flight safety, it is necessary to develop aircraft flight collision avoidance control technology. [0003] The aircraft collision avoidance control method in the prior art obtains the distance between the aircraft in the current state and the static obstacle, and judges whether the distance satisfies the preset value, and then when the distance does not meet the preset value, Control the aircraft to adjust the flying height according to the distance to avoid the aircraft from colliding with the static obstacle. It can only avoid the collision between the aircraft ...

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the deficiencies in the prior art, the object of the present invention is to provide an aircraft intelligent collision avoidance method based on reinforcement learning, which solves the problem that the aircraft collision avoidance control method in the prior art cannot avoid the gap between the aircraft and the aircraft when multiple aircraft fly at the same time. The problem of collision between

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