A UAV resource allocation method based on quantum bird flock evolution mechanism

Abstract

The invention discloses a resource allocation method for unmanned aerial vehicles based on the quantum bird swarm evolution mechanism, which belongs to the field of autonomous control of unmanned aerial vehicles. The steps of the method of the present invention are as follows: establish a UAV resource allocation model; determine the type of mission performed by the UAV, and initialize the quantum bird group; perform fitness calculation according to the fitness function, and determine the global best position of the group; through quantum rotation The gate and the quantum NOT gate update and measure the quantum position; calculate the fitness according to the fitness function; update the local best position of each quantum bird and the global best position of the whole group; judge whether the maximum number of iterations is reached, and output if reached The global optimal position of the swarm is mapped to a task resource matrix. The present invention fully takes into account that UAVs have different needs for resources when they perform different tasks, obtains the UAV resource allocation scheme with the optimal resource configuration ratio at less time cost, and at the same time satisfies the performance requirements of UAVs, and obtains a more reasonable solution. UAV resource allocation scheme.

Description

technical field [0001] The invention belongs to the field of autonomous control of unmanned aerial vehicles, and in particular relates to a method for allocating unmanned aerial vehicle resources based on a quantum bird swarm evolution mechanism. Background technique [0002] UAV refers to an aircraft that can fly by remote control or autonomously under a predetermined program without direct piloting. UAVs have the characteristics of low cost, good economy, long blanking time, ability to perform tasks in harsh environments and avoid unnecessary casualties. They are used in power grid inspection, pesticide spraying, forest protection, search and rescue, aerial photography It has a wide range of applications in many civilian fields, as well as in military fields such as target detection, tracking, and military division strikes. And it has played an important role in many battlefields and wars in the past, so it has been paid more and more attention by people. [0003] Resour...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to propose a kind of UAV resource allocation based on the quantum bird swarm evolution mechanism in view of the shortcomings of the resource allocation model in the existing UAV resource method that does not fully consider each situation and the poor performance of the existing optimization method method

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