Aircraft real-time penetration trajectory generation method and system

A trajectory generation and aircraft technology, applied in three-dimensional position/channel control, sustainable traffic, etc., can solve problems such as the inability to meet the real-time requirements of HGV's highly dynamic environment

Pending Publication Date: 2022-08-02
BEIHANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Convex optimization has achieved real-time applications in many fields, but the solution time is still at the second or sub-second level, which cannot meet the real-time requirements of the highly dynamic environment of HGV

Method used

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  • Aircraft real-time penetration trajectory generation method and system
  • Aircraft real-time penetration trajectory generation method and system
  • Aircraft real-time penetration trajectory generation method and system

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Embodiment Construction

[0074] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0075] The purpose of the present invention is to provide a method and system for generating a real-time penetration trajectory of an aircraft, which can improve the solution efficiency of the convex optimization problem, thereby meeting the real-time requirements of the HGV highly dynamic environment.

[0076] In order to make the above objects, features and advantages of the present invention more clearly understood, the present inve...

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Abstract

The invention relates to an aircraft real-time penetration trajectory generation method and system. According to the method, a second-order cone programming method is used to solve a penetration trajectory optimization problem, penetration trajectories under different initial conditions are obtained, after a data set is generated, a deep neural network is trained by using the generated data set, and a trained deep neural network model is obtained. And then the trained deep neural network model is used as a real-time controller of an attack angle and a heeling angle, and a penetration trajectory is rapidly generated based on the obtained current state parameters of the hypersonic gliding aircraft. In the actual application process, the penetration trajectory can be obtained only by inputting the obtained current state parameters, so that the solving efficiency of the convex optimization problem is improved, and the real-time requirement of the HGV highly dynamic environment is met.

Description

technical field [0001] The invention relates to the technical field of trajectory planning, in particular to a method and system for generating a real-time penetration trajectory of an aircraft. Background technique [0002] Hypersonic Gliding Vehicle (HGV) is a near-space vehicle with high-speed, large maneuvering and long-range gliding capabilities, and has broad application prospects. To counter missile defense systems, it is necessary to improve the penetration capabilities of HGVs. The effective penetration method of HGV is to take full advantage of its speed. Due to the development of cooperative guidance technology, HGV needs to penetrate multiple interceptors and reach the target area. And the engagement process is highly dynamic, and real-time decision-making performance is critical for HGVs. [0003] Ballistic optimization is an important field in the aerospace field. For HGV, ballistic optimization is an effective method to achieve penetration. However, there...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05D1/10
CPCG05D1/107Y02T90/00
Inventor 董希旺沈志鹏于江龙化永朝李清东任章吕金虎
Owner BEIHANG UNIV
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