Counter-attack countermeasure optimal strategy method for multi-unmanned plane cooperative strike task

A multi-UAV, optimal strategy technology, applied in the direction of instruments, adaptive control, control/regulation systems, etc., to achieve the effect of improving collaborative strike capability, large evaluation revenue value and strike effectiveness

Inactive Publication Date: 2016-01-27
SHENYANG AEROSPACE UNIVERSITY
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  • Application Information

AI Technical Summary

Problems solved by technology

However, when multi-UAVs perform missions, one of the key issues to s

Method used

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  • Counter-attack countermeasure optimal strategy method for multi-unmanned plane cooperative strike task
  • Counter-attack countermeasure optimal strategy method for multi-unmanned plane cooperative strike task
  • Counter-attack countermeasure optimal strategy method for multi-unmanned plane cooperative strike task

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Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] Step 1: Establish UAV capability function and its Jacobian matrix;

[0028] Step 1.1: Establish a capability function to quantify the ability of the UAV to strike the target;

[0029] The capability function is to reflect the ability of the UAV to strike the target, and it is mainly established according to the requirements and forms of the mission. The capability function is related to factors such as the distance and orientation between the UAV and the target. The capability function of multiple UAVs is the sum of the capability functions of single UAVs. In order to simplify the analysis, it is assumed that the capability function only considers the distance from the target point. When the distance between the UAV and the target point meets the requirements, the UAV can achieve the maximum capability value.

[0030] The location information of UAVs is stored in an n×3 matrix, where n represents the number of UAVs. The information of target points is stored in an m×...

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Abstract

The invention aims to solve the problem of a counter-attack countermeasure optimal strategy for a multi-unmanned plane cooperative strike task and belongs to the technical field of multi-unmanned plane cooperative control. The invention combines a capability function with a multi-unmanned plane cooperative strike counter-attack countermeasure model and provides a counter-attack countermeasure method for the multi-unmanned plane cooperative strike. Firstly, the capability function of an unmanned plane is established; then by means of a jacobian matrix of the capability function, a calculation method for the position of the multi-unmanned plane cooperative strike is created; and the multi-unmanned plane cooperative strike counter-attack countermeasure model is established further, and a solving method for a n-person limited strategy static counter-attack countermeasure model and the pure-strategy nash equilibrium is created. The invention achieves the counter-attack countermeasure optimal strategy for the multi-unmanned plane cooperative strike, obtains great assessment profit value and strike strike efficiency, and improves the multi-unmanned plane cooperative strike capability.

Description

Technical field: [0001] The invention belongs to the technical field of multi-UAV coordinated control, and relates to an offensive and defensive countermeasure strategy method for a multi-UAV coordinated strike task based on strike capability. Background technique: [0002] Offensive and defensive countermeasures refer to the process in which, under the constraints of certain game rules and based on the environmental conditions of direct interaction, participants rely on the information they have to choose their own strategies or actions to maximize benefits and minimize risk costs. [0003] Modern research on game game theory began with Zermelo, Borel and von Neumann. In 1928, von Neumann proved the basic principles of game game theory, thus announcing the official birth of game game theory. In 1944, the epoch-making masterpiece "Game Theory and Economic Behavior" co-authored by von Neumann and Morgenstern extended the two-person game to the n-person game structure and app...

Claims

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Application Information

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IPC IPC(8): G05D1/10G05B13/04
Inventor 陈侠赵谅
Owner SHENYANG AEROSPACE UNIVERSITY
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