Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

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

A technology of resource allocation and drones, applied in the field of autonomous control of drones, can solve problems such as poor performance of optimization methods, and achieve the effects of strong applicability, fast convergence speed, and high convergence accuracy

Active Publication Date: 2021-11-23
HARBIN ENG UNIV
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A UAV resource allocation method based on quantum bird flock evolution mechanism
  • A UAV resource allocation method based on quantum bird flock evolution mechanism
  • A UAV resource allocation method based on quantum bird flock evolution mechanism

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0057] The present invention will be further described below in conjunction with the accompanying drawings.

[0058] Aiming at the shortcomings of the resource allocation model in the existing unmanned aerial vehicle resource method that does not fully consider each situation and the poor performance of the existing optimization method, the present invention proposes a resource allocation model for unmanned aerial vehicles that considers different tasks, and proposes A UAV resource allocation method based on quantum bird swarm mechanism is proposed.

[0059] combine figure 1 , a UAV resource allocation method based on quantum bird swarm evolution mechanism, which mainly includes the following steps:

[0060] (1) Establish a resource allocation model for UAVs, assuming that there are M types of UAVs with K types of weapons to perform tasks for N targets.

[0061] Assuming that there are M types of UAVs performing tasks on N targets, the value of the m-th type UAV is V m , th...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06G06N3/00
CPCG06N3/006G06Q10/0631
Inventor 高洪元苏雪杜亚男刁鸣谢婉婷付文宇孙贺麟池鹏飞张晓桐刘子奇
Owner HARBIN ENG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products