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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

Active Publication Date: 2021-02-02
SHENYANG AEROSPACE UNIVERSITY
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Problems solved by technology

Due to the complexity of UAV swarm confrontation, simple simulation models cannot effectively reflect the complex actual combat process

Method used

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

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Embodiment Construction

[0032] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0033] In this embodiment, the UAV swarm air-ground confrontation dynamic game simulation method based on adaptive weight, such as figure 1 shown, including the following steps:

[0034] Step 1. Initialize the UAV cluster air-ground confrontation model, specifically:

[0035]Set up the confrontation operation parameters, confrontation rules and combat constraints of the two sides of the confrontation game; set the strategy collection space of the UAV cluster and the ground air defense position as the participants of the confrontation game; set the game profit function of the two sides of the confrontation game; set the victory of the confrontation Conditions; Establish t...

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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.

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 ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06F17/11
CPCG06F30/20G06F17/11Y02T10/40
Inventor 王尔申宏晨郭靖佟刚郭婧肖明明房启志王传云王宝广黄煜峰曲萍萍徐嵩
Owner SHENYANG AEROSPACE UNIVERSITY
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