Hypersonic aircraft airborne trajectory planning method and device, aircraft and medium

Abstract

The invention discloses a hypersonic aircraft airborne trajectory planning method and device, an aircraft and a medium. A reentry gliding section motion equation of a hypersonic aircraft is used as a training environment of a trajectory planning problem of the hypersonic aircraft; constructing a state space, a strategy action space, an environment dynamic transfer function, a reward function and a discount factor of the trajectory planning problem; and training the neural network of the trajectory planning problem by using a deep reinforcement learning algorithm. And inputting the state space obtained in the flight process into the trained Actor network to obtain a strategy action space, so that the hypersonic aircraft flies to a predetermined target area according to the strategy action space to complete the flight task of reentering the gliding section. According to the method, airborne real-time trajectory planning of the hypersonic flight vehicle in the gliding section is realized by using an artificial intelligence algorithm, the task adaptability of the flight vehicle is improved, and the problem that the trajectory of the hypersonic deformation flight vehicle like gliding flight is difficult to plan on line is effectively solved.

Description

technical field

[0001] The invention belongs to the technical field of aircraft control, and in particular relates to a hypersonic aircraft airborne trajectory planning method, device, aircraft and medium. Background technique

[0002] The online trajectory generation task of the hypersonic gliding vehicle’s re-entry gliding segment is to output instructions in real time to guide the vehicle from the current Fly to the preset target area precisely. The trajectory effect of the gliding section not only determines whether the aircraft can fly to the target area, but also affects the flight status of the starting point of the dive section. In traditional aircraft trajectory planning, it is assumed that the initial state of the aircraft is known, and the optimal trajectory is obtained in advance. However, in the actual flight of hypersonic glide, due to flight uncertainty and external interference, this assumption is difficult to establish, which means that the initial state o...

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