Obstacle avoidance method and system of UAV formation under time-varying network topology

A time-varying network and UAV technology, applied in the field of multi-UAV formation, can solve the problems of difficult implementation, high real-time requirements of multi-aircraft formation system, and high number of iterations, to ensure integrity, reduce communication overhead and effect of time spent

Active Publication Date: 2017-12-19
HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
View PDF7 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] 1. Most of the algorithms are based on the leader-wingman model. In the research, the leader is not controlled. The cooperative control strategy only works on the wingman. It is a follow-up mechanism. The robustness of the algorithm is poor. When the leader or virtual leader When a problem occurs, the entire formation algorithm cannot work, and there is still a big gap with the real multi-machine formation and cluster formation thinking
[0006] 2. The multi-machine formation system has high requirements

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
  • Obstacle avoidance method and system of UAV formation under time-varying network topology
  • Obstacle avoidance method and system of UAV formation under time-varying network topology
  • Obstacle avoidance method and system of UAV formation under time-varying network topology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0040] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0041] The present invention applies multi-UAV formations under communication constraints, based on distributed and centralized information transmission methods, and uses a sliced ​​topology model to propose an obstacle avoidance algorithm for UAV formations under time-varying topology. In the stage, different information transmission methods are adopted according to the transmission information. At the same time, the UAV formation algorithm is designed as a whole to ensure the overall link stability of the formation, and a multi-machine formation obstacle avoidance with low communication overhead and low delay cost is designed. algorithm.

[0042] Specifically, such as Figure 1a As shown, the present invention proposes a UAV formation obstacle avoidance method under a time-varying network topology, including:

[00...

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 obstacle avoidance method and system of a UAV (unmanned aerial vehicle) formation under time-varying network topology. The method comprises a step of obtaining a current UAV network topology condition according to position information of each UAV at present, a step of obtaining current UAV global formation information by using a distributed transmission mode according to the current UAV network topology condition, a step of carrying out centralized transmission according to regional information obtained by a sensor of a boundary UAV to calculate a global barrier-free area, a step of carrying out optimal calculation to obtain a target formation according to the current UAV global formation information and the barrier-free area, and a step of distributing a UAV to each target point according to the calculated target formation. According to the method and the system, the overall communication overhead and time cost are reduced, at the same time, a topology change caused by a formation change in the formation process is considered, a slice type topological model is established, different topologies are updated according to a current formation state in different time slots, and thus an algorithm is more close to the actual application. The integrity of the formation is ensured.

Description

technical field [0001] The invention relates to the technical field of multi-UAV formation, in particular to an obstacle avoidance method and system for UAV formation under a time-varying network topology. Background technique [0002] With the rapid development of drone driving technology and the widespread civilian use of drones, people are gradually realizing the benefits of their wide application in different industries. Therefore, with the increasing demand for drones, the demand for multi-machine collaboration to complete tasks is also expanding. The core of multi-machine cooperation to complete the task is the multi-machine formation technology. [0003] At present, the relatively mature and common formation algorithms mainly include the leader-wingman method, the artificial potential field method, the behavior-based method and the virtual structure method. In addition to the above algorithms, there is also the traditional most commonly used PID algorithm. The tradi...

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 杨志华刘振涛廖小丽于海峰
Owner HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
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