Multi Unmanned Aerial Vehicle Collaborative Hunting Task Allocation Method by Improved Consensus-Based Bundle Algorithm

Yaping Huang, Min Chang, Zhiwei Chen, Junqiang Bai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

To form a task-oriented encirclement alliance efficiently while encircling multiple dynamic targets, an improved consensus-based bundle algorithm (iCBBA), is established in this paper. Firstly, the task sequence of every drone is constructed. Then, the task-oriented encirclement alliance to complete the task is formed. A clear difference between iCBBA and CBBA is that the former is about multitask allocation of hunting dynamic targets while the latter usually focuses on single task allocation of a static target. The simulation results show that, this improved algorithm can effectively complete the task assignment of multiple UAVs with different types of targets, and the execution order is reasonable.

Original languageEnglish
Title of host publicationProceedings of 3rd 2023 International Conference on Autonomous Unmanned Systems (3rd ICAUS 2023) - Volume II
EditorsYi Qu, Mancang Gu, Yifeng Niu, Wenxing Fu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages68-77
Number of pages10
ISBN (Print)9789819710829
DOIs
StatePublished - 2024
Event3rd International Conference on Autonomous Unmanned Systems, ICAUS 2023 - Nanjing, China
Duration: 9 Sep 202311 Sep 2023

Publication series

NameLecture Notes in Electrical Engineering
Volume1171
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference3rd International Conference on Autonomous Unmanned Systems, ICAUS 2023
Country/TerritoryChina
CityNanjing
Period9/09/2311/09/23

Keywords

  • Consensus-based Bundle Algorithm
  • Multi-agent
  • Task Assignment

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