An unmanned aerial vehicle resource allocation method based on a quantum bird flock evolution mechanism

Abstract

The invention relates to an unmanned aerial vehicle resource allocation method based on a quantum bird flock evolution mechanism, belonging to the unmanned aerial vehicle autonomous control field. Themethod of the invention comprises the following steps: establishing a resource allocation model of an unmanned aerial vehicle; determining the types of UAV tasks, and initializing the quantum bird flocks; calculating the fitness according to the fitness function, and determining the global optimal position of the population; The quantum position is updated and measured through the quantum revolving gate and the quantum non-gate. Calculating fitness according to fitness function; Updating the local best position of each quantum bird and the global best position of the whole colony; judging whether the maximum iteration number is reached or not; if the maximum iteration number is reached, the global best position of the group is output and mapped to the task resource matrix. The invention fully takes into account the different resource requirements of the unmanned aerial vehicle (UAV) when executing different tasks, obtains an optimal UAV resource allocation scheme with a lower resourceallocation ratio at a time cost, simultaneously satisfies the performance requirements of the UAV, and obtains a more reasonable 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...

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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 o...

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