Multiple unmanned aerial vehicle formation partition method

A multi-UAV and UAV technology, applied in the field of data fusion, can solve the problems of long cruising time, high requirements, and small coverage

Inactive Publication Date: 2013-09-25
NORTHWESTERN POLYTECHNICAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, relying on only one UAV and its on-board electronic system to achieve these goals, the coverage is small, the cruise time is long, and the operator has heavy tasks, heavy burdens and high requirements.

Method used

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  • Multiple unmanned aerial vehicle formation partition method
  • Multiple unmanned aerial vehicle formation partition method
  • Multiple unmanned aerial vehicle formation partition method

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Embodiment Construction

[0017] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0018] The present invention comprises the following steps:

[0019] (1) Obtain and standardize the situation information data of each target in air combat;

[0020] (2) Initialize the membership matrix to make it meet the constraints;

[0021] (3) Calculate the cluster center;

[0022] (4) Calculate the value function J. If the exit condition of calculation termination is satisfied, the algorithm stops, otherwise, a new membership matrix is ​​calculated, and the previous step is returned to recalculate the cluster center;

[0023] (5) After satisfying the jump-out condition, the final membership matrix is ​​obtained;

[0024] (6) According to each data value in the final membership matrix, the multi-objectives are clustered and divided.

[0025] Such as figure 1 As shown, the calculation steps of the present invention are as follows:

[0026] St...

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Abstract

The invention provides a multiple unmanned aerial vehicle formation partition method. The multiple unmanned aerial vehicle formation partition method comprises sequentially obtaining situation information data of every target of an air combat and performing standardization processing; initializing a membership matrix to enable the membership matrix to meet constraint conditions; calculating cluster centers; calculating a value function J, if a step out condition of terminating the calculation is met, stopping an algorithm, otherwise, calculating a new membership matrix, and returning to the former step and recalculating the cluster centers; obtaining a final membership matrix when the step out condition is met; performing cluster partition on multiple targets according to all the data values in the final membership matrix. According to the multiple unmanned aerial vehicle formation partition method, the calculating dimensions during task allocation execution of multiple target formations are reduced, the calculation is reduced, and the calculation speed is improved.

Description

technical field [0001] The invention belongs to the technical field of data fusion, and in particular relates to a multi-unmanned aerial vehicle formation division method, which can be used in airborne task processors or air / ground guidance and command systems. Background technique [0002] Earthquake, as one of the biggest natural disasters that endanger human beings, seriously threatens the existence of human beings. my country is located between the two major earthquake zones in the world and is a country with many earthquakes. The Wenchuan and Ya'an earthquakes have caused huge economic losses and casualties to our country. Statistics show that the secondary losses or casualties after the earthquake cannot be underestimated. This is all because of the lack of understanding of the situation in the disaster area after the earthquake, which leads to the deployment of disaster relief personnel and vehicle arrangements that cannot be combined with the actual situation. UAVs...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 张堃张才坤周德云冯琦马云红
Owner NORTHWESTERN POLYTECHNICAL UNIV
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