Hypersonic flight vehicle cooperative guidance method based on real-time optimization and deep learning

A hypersonic, deep learning technology, applied in the field of aircraft guidance, to achieve the effect of improving the impact kinetic energy, high computing efficiency, and strong reliability

Pending Publication Date: 2022-07-29
BEIJING INSTITUTE OF TECHNOLOGYGY
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AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the hypersonic aircraft cooperative guidance method based on real-time optimization and deep learning disclosed by the present invention is: to realize the optimal cooperative guidance of hypersonic aircraft under the consideration of nonlinear system dynamics, aerodynamics and complex task constraints

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  • Hypersonic flight vehicle cooperative guidance method based on real-time optimization and deep learning
  • Hypersonic flight vehicle cooperative guidance method based on real-time optimization and deep learning
  • Hypersonic flight vehicle cooperative guidance method based on real-time optimization and deep learning

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Embodiment Construction

[0144] In order to better illustrate the purpose and advantages of the present invention, the content of the invention will be further described below with reference to the accompanying drawings and examples.

[0145] The task example of selecting two hypersonic vehicles to cooperatively attack a fixed target located at the origin of the reference coordinate system verifies the real-time optimization and deep learning-based collaborative guidance method for hypersonic vehicles disclosed in the present invention.

[0146] The detailed steps are as follows:

[0147] Step 1: According to the flight mechanics characteristics of the hypersonic vehicle and the characteristics of the coordinated attack task, the optimal guidance problem P0 is established.

[0148] The system dynamics of a hypersonic vehicle is expressed as

[0149]

[0150] In the formula, the subscripts i=1, 2 represent the two hypersonic vehicles codenamed HGV1 and HGV2, respectively, x i ,y i and z i is the...

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Abstract

The invention discloses a hypersonic flight vehicle cooperative guidance method based on real-time optimization and deep learning, and belongs to the technical field of flight vehicle guidance. The implementation method comprises the following steps: establishing an optimal guidance problem according to flight mechanics characteristics of the hypersonic flight vehicle and cooperative attack task characteristics; selecting a proper control variable to construct a control affine system, and further linearizing the system to obtain linear system dynamics; converting the non-convex control constraint into a second-order cone constraint by adopting a relaxation technology; and designing a sequence second-order cone optimization algorithm to obtain a solution of an original optimal guidance problem. In addition, a sample set is obtained by solving a time-free optimal guidance problem, and a neural network used for determining the minimum hit time is designed and trained, so that the optimal cooperative attack time is calculated. According to the collaborative guidance method disclosed by the invention, optimal collaborative guidance under the condition of considering nonlinear system dynamics, aerodynamic and complex task constraint conditions can be realized, and the penetration ability and damage effect of the hypersonic aircraft are effectively improved.

Description

technical field [0001] The invention belongs to the technical field of aircraft guidance, relates to a hypersonic aircraft cooperative guidance method, and in particular relates to a hypersonic aircraft cooperative guidance method based on real-time optimization and deep learning. Background technique [0002] In recent years, the strategic goal of the development of world military science and technology is to enhance the capability of long-range, rapid and precise strikes. As an ideal weapon and equipment to effectively implement rapid global strikes, hypersonic vehicles have received extensive attention around the world. Hypersonic vehicles have the advantages of long effective range, fast flight speed, high hit accuracy and unpredictable ballistic trajectory. However, with the rapid development of advanced anti-missile systems, the combat effectiveness of a single hypersonic vehicle has been severely weakened. In order to further improve the penetration capability and d...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05D1/10
CPCG05D1/107
Inventor 刘新福李雅轩
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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