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

Multi-unmanned aerial vehicle three-dimensional formation reconfiguration method based on artificial bee colony (ABC) algorithm

An artificial bee colony algorithm and formation reconstruction technology, applied in three-dimensional position/channel control, non-electric variable control, instruments, etc.

Inactive Publication Date: 2019-04-23
BEIHANG UNIV
View PDF4 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The purpose of the present invention is to provide a multi-UAV three-dimensional formation reconstruction method based on the artificial bee colony algorithm to solve the problems of minimum energy control, shortest time and minimum energy comprehensive control of three-dimensional formation reconstruction in the prior art, and Optimization problems of centralized control of complex systems such as multi-formation reconfiguration and multi-machine coordination

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
  • Multi-unmanned aerial vehicle three-dimensional formation reconfiguration method based on artificial bee colony (ABC) algorithm
  • Multi-unmanned aerial vehicle three-dimensional formation reconfiguration method based on artificial bee colony (ABC) algorithm
  • Multi-unmanned aerial vehicle three-dimensional formation reconfiguration method based on artificial bee colony (ABC) algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0102] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and examples.

[0103] Assuming that the number of unmanned aerial vehicles in the unmanned aerial vehicle formation is N=5, the relative position of each unmanned aerial vehicle in the formation is stipulated at the terminal time, the parameters of the ABC algorithm are set, and the multi-unmanned aerial vehicle based on the artificial bee colony algorithm proposed by the present invention is used. The three-dimensional formation reconstruction method can always find a set of solutions through continuous iteration. Under the condition of meeting the requirements of the UAV formation formation, the reconstruction time is guaranteed to be the shortest. The specific steps are as follows: Step 1: Set the parameters of the ABC algorithm: bee colony population QuantityN p =600, the maximum number of cycles T p =600 and threshold limit=10000. Initia...

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 multi-unmanned aerial vehicle three-dimensional formation reconfiguration method based on an artificial bee colony (ABC) algorithm, and belongs to the technical field of unmanned aerial vehicle control. The method comprises the following steps: firstly, establishing a motion model of an unmanned aerial vehicle and then giving out mathematical description of optimal time control of three-dimensional formation reconfiguration; and after piecewise linearization control input is carried out, carrying out unmanned aerial vehicle three-dimensional formation reconfigurationby using an ABC algorithm. Compared with the prior art, the method disclosed by the invention has the advantages that the searching time of unmanned aerial vehicle formation reconfiguration through the ABC algorithm is shortest, so that the rapidity of the unmanned aerial vehicle formation reconfiguration is realized; and the ABC algorithm is a global search method which can avoid falling into local optimization, so that the accuracy of the unmanned aerial vehicle formation reconfiguration is improved.

Description

technical field [0001] The invention belongs to the technical field of unmanned aerial vehicle control, and relates to a reconstruction method of multi-unmanned aerial vehicle cooperative formation, specifically, refers to a multi-unmanned aerial vehicle based on artificial bee colony algorithm (Artificial Bee Colony Algorithm, hereinafter referred to as ABC). Human-machine three-dimensional formation reconstruction method. Background technique [0002] UAV (Unmanned Aerial Vehicle, UAV) is an aircraft without a pilot on board, can be operated autonomously or remotely, can be consumable or recyclable, and can carry lethal or non-lethal payloads . [0003] In 1917, the British successfully developed the world's first unmanned aerial vehicle. After that, the unmanned aerial vehicle has gone through unmanned target aircraft, pre-programmed control unmanned reconnaissance aircraft, command remote unmanned reconnaissance aircraft and composite control multi-purpose unmanned aeri...

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
IPC IPC(8): G05D1/10
CPCG05D1/104
Inventor 肖振宇杨福廷董航
Owner BEIHANG 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