Research on the Multi-aircraft Cooperative Autonomous Maneuver Decision Method for Confrontation with a Powerful Enemy

Fu Zhu, Jiayin Hou, Chong Sun, Zhanxia Zhu, Dali Ding, Wenya Wan

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

Abstract

The platform of modern air combat fighters is developing towards being unmanned, intelligent, highly maneuverable and stealthy. Compared with a powerful enemy possessing high stealth, strong radar sensing and large maneuverability, an unmanned combat aerial vehicle (UCAV) with weak detection and mobility needs to use a cooperative method involving multiple UCAVs to carry out a confrontation. In view of this mission scenario, this article proposes a multi-UCAVs cooperative autonomous maneuver decision method. During air combat, multiple UCAVs improve combat effectiveness through collaborative sensing and collaborative confrontation. This article uses 3V1 intelligent air combat as an example to illustrate the role allocation and task allocation method. For different roles, we construct the situation function of UCAVs and design the corresponding autonomous maneuver decision algorithm. To verify the effectiveness of this method, this article conducts simulation experiments of 3V1 close-range air combat autonomous maneuver decision. The results showed that our UCAV achieved victory under conditions of poor maneuverability and completed role switching during the combat process. These results verified the effectiveness of the proposed method.

Original languageEnglish
Title of host publicationAdvances in Guidance, Navigation and Control - Proceedings of 2024 International Conference on Guidance, Navigation and Control Volume 15
EditorsLiang Yan, Haibin Duan, Yimin Deng
PublisherSpringer Science and Business Media Deutschland GmbH
Pages560-569
Number of pages10
ISBN (Print)9789819622559
DOIs
StatePublished - 2025
EventInternational Conference on Guidance, Navigation and Control, ICGNC 2024 - Changsha, China
Duration: 9 Aug 202411 Aug 2024

Publication series

NameLecture Notes in Electrical Engineering
Volume1351 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInternational Conference on Guidance, Navigation and Control, ICGNC 2024
Country/TerritoryChina
CityChangsha
Period9/08/2411/08/24

Keywords

  • Autonomous maneuver decision
  • Cooperative operations
  • Intelligent air combat
  • Role assignment
  • UCAV

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