Uninhabited combat air vehicle route path determining method based on PGSO (Particle-Glowworm Swarm Optimization) algorithm

A group optimization algorithm and path determination technology, applied in the direction of calculation, calculation model, instrument, etc., can solve the problems that have not yet been found and solved, and achieve the effect of speeding up the convergence speed, reducing the cost, and improving the solution accuracy.

Inactive Publication Date: 2015-04-29
GUANGXI UNIV FOR NATITIES
View PDF3 Cites 35 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] So far, no researchers have been found to apply the firefly swarm algorithm to the solution of UAV flight paths

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
  • Uninhabited combat air vehicle route path determining method based on PGSO (Particle-Glowworm Swarm Optimization) algorithm
  • Uninhabited combat air vehicle route path determining method based on PGSO (Particle-Glowworm Swarm Optimization) algorithm
  • Uninhabited combat air vehicle route path determining method based on PGSO (Particle-Glowworm Swarm Optimization) algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0016] The present invention will be described in further detail below in conjunction with accompanying drawing and embodiment:

[0017] The present invention is a method for determining the optimal path of UAV routes based on particle firefly swarm optimization algorithm. The specific process is as follows: figure 1 shown, including the following steps:

[0018] Step 1: Determine the starting point and target point of the path according to the mission information, and determine the flight search area according to the starting point and target point;

[0019] Step 2: Take the starting point Q(x 1 ,y 1 ) is the coordinate origin, the starting point Q(x 1 ,y 1 ) and target point M(x 2 ,y 2 ) is the abscissa X', through the following coordinate transformation formula

[0020] θ = arcsin y 2 - y 1 ...

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 an uninhabited combat air vehicle route path determining method based on a PGSO (Particle-Glowworm Swarm Optimization) algorithm. The PGSO algorithm is designed by integrating a particle swarm optimization algorithm and a glowworm swarm optimization algorithm; a high-efficiency PGSO algorithm is designed by simulating a behavioural process of glowworms and establishing a swarm intelligence algorithm model under the inspiration of foraging or companion attracting courtship behaviors of the glowworms in nature through luminescence (fluorescein) and a bird swarm foraging behavior on the basis of a biological principle of a glowworm swarm in the nature; the high-efficiency PGSO algorithm is applied to determining of an uninhabited combat air vehicle route path; the uninhabited combat air vehicle route path determining method which is more excellent in performance is provided; a parallel hybrid mutation strategy and a strategy for performing local search close to the position of a global optimal individual are introduced into the PGSO, so that higher flight speed and positioning accuracy are achieved by finding the uninhabited combat air vehicle route path by utilizing the PGSO.

Description

technical field [0001] The invention belongs to the field of UAV path determination, in particular to a UAV route path determination method based on particle firefly swarm intelligent optimization algorithm. Background technique [0002] In the complex environment of modern warfare, UAVs (Uninhabited combat air vehicle; UCAV) have unparalleled advantages over conventional fighter jets. Today, drones have become a new attack method in precision air weapon attack systems, which can replace conventional fighter jets to complete a series of attack tasks in complex battlefield environments. UAV path planning is a new generation of low-altitude penetration technology for the purpose of terrain following, terrain avoidance and threat avoidance flight. UAV path planning is a key component of the mission planning system. Calculate optimal or suboptimal flight paths for UAVs that allow UAVs to break through hostile threat environments and survive on their own while accomplishing miss...

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 Applications(China)
IPC IPC(8): G06N3/00
Inventor 周永权罗淇方唐忠华
Owner GUANGXI UNIV FOR NATITIES
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap