Unmanned aerial vehicle cooperative air combat decision-making method based on genetic fuzzy tree

Abstract

The invention discloses an unmanned aerial vehicle cooperative air combat decision-making method based on a genetic fuzzy tree, and the method comprises the following steps: building an unmanned aerial vehicle cooperative air combat comprehensive advantage evaluation index system which comprises an unmanned aerial vehicle air combat capability evaluation model and an unmanned aerial vehicle air combat situation evaluation model; establishing a target allocation evaluation function, searching an optimal target allocation result by a genetic algorithm, and constructing an unmanned aerial vehiclecooperative air combat target allocation model based on the genetic algorithm; constructing an unmanned aerial vehicle air combat motion model and refining and expanding the basic maneuvering actionlibrary of the unmanned aerial vehicle;and constructing an unmanned aerial vehicle cooperative air combat decision-making model based on the genetic fuzzy tree, performing parameter identification onthe fuzzy tree through the sample data, identifying the fuzzy tree structure through a genetic algorithm, and obtaining the unmanned aerial vehicle cooperative air combat decision-making model which meets the precision requirement and is low in complexity. According to the method, the optimal target allocation result can be obtained in the cooperative air combat of the unmanned aerial vehicle group, and the optimal maneuver of the unmanned aerial vehicle in the single-to-single air combat can be realized.

Description

technical field [0001] The invention relates to an unmanned aerial vehicle cooperative air combat decision-making method based on a genetic fuzzy tree, and belongs to the technical field of unmanned aerial vehicles. Background technique [0002] In modern warfare, air combat is one of the key factors that dominate the direction of war. Whoever has the air supremacy will occupy the advantage on the battlefield. At present, with the rapid development of unmanned aerial vehicle systems and artificial intelligence technology, the development of air-controlling unmanned aerial vehicles with intelligent decision-making systems, which can replace manned aircraft in air combat to a certain extent, has attracted widespread attention from various aviation powers. UAVs can greatly reduce the cost of war in modern battlefields, and there will be no pilot casualties. UAVs are generally small in size, easy to maintain and repair, and the cost of parts and materials is low. UAVs can adapt...

AI Technical Summary

Problems solved by technology

[0003] In 2016, the University of Cincinnati in the United States conducted an air combat confrontation simulation experiment between fighter pilots and artificial intelligence (AI). The anti-logic operation cannot succeed in the face of nonlinear models

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