Unmanned aerial vehicle cluster space-ground confrontation game simulation method based on self-adaptive weight

An adaptive weight and simulation method technology, applied in design optimization/simulation, special data processing applications, complex mathematical operations, etc. The effect of accuracy
CN112307613AActive Publication Date: 2021-02-02SHENYANG AEROSPACE UNIVERSITY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHENYANG AEROSPACE UNIVERSITY
Publication Date
2021-02-02

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Abstract

The invention provides an unmanned aerial vehicle cluster air-ground confrontation game simulation method based on adaptive weight, and relates to the technical field of unmanned aerial vehicle clusters. The method comprises the steps: firstly, initializing an unmanned aerial vehicle cluster air-ground confrontation mode, setting a yield weight coefficient with a self-adaptive effect for a combatunit of each participant according to the initial combat situation and game decision information of the participant, dynamically updating benefit weight coefficients for the participants based on thestates of the participants and an adaptive weight method of the decision information, solving target benefits of each combat unit in the unmanned aerial vehicle cluster and ground air defense positionconfrontation process by utilizing an iterative method, and finally, obtaining the total income of each participant in the whole confrontation process, and completing the analogue simulation of the confrontation game process. According to the method, based on the dynamic game theory under incomplete information, the unmanned aerial vehicle cluster confrontation dynamic game model under the incomplete information condition is established by introducing the self-adaptive weight, and therefore the accuracy of the unmanned aerial vehicle cluster combat model is improved.
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Description

technical field

[0001] The invention relates to the technical field of unmanned aerial vehicle swarms, in particular to an air-ground confrontation game simulation method for unmanned aerial vehicle swarms based on adaptive weights. Background technique

[0002] UAV swarms perceive the environment, judge the surrounding situation, and adopt favorable strategies such as attack, avoidance, dispersion, concentration, cooperation, and assistance according to certain behavioral rules, so that the dynamic characteristics of the swarm confrontation system emerge as a whole. At present, for the simulation model of UAV swarm confrontation, differential countermeasures, biological intelligence, nonlinear state space and other methods are commonly used to establish confrontation models. However, when dealing with dynamic characteristics in the established mathematical model, the model simulation confrontation process cannot accurately reflect the actual combat process. Therefore, how ...

Claims

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