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Weapon Target Assignment Based on Compensation Auction Algorithm

  • Beihang University

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

Abstract

An improved auction algorithm named compensation auction algorithm (CAA) is proposed for the air-to-air confrontation problem in attack scenarios. First, in order to represent the conflict in assignment, a damage benefit function is established according to the guidance rules. Secondly, a multi-constraint dynamic model of multi-weapon attacking multi-target is created. Then, according to the traditional auction algorithm, a compensation mechanism is proposed and a compensation factor is introduced. Under the condition that the constraints are satisfied, the efficiency of algorithm convergence is accelerated. Finally, a simulation is carried out on the established scene by using CAA. The results show that the algorithm has an effective optimization in time consumption compared with the existing intelligent algorithms, which also meets the real-time requirements.

Original languageEnglish
Title of host publicationAdvances in Guidance, Navigation and Control - Proceedings of 2022 International Conference on Guidance, Navigation and Control
EditorsLiang Yan, Haibin Duan, Yimin Deng, Liang Yan
PublisherSpringer Science and Business Media Deutschland GmbH
Pages4622-4631
Number of pages10
ISBN (Print)9789811966125
DOIs
StatePublished - 2023
EventInternational Conference on Guidance, Navigation and Control, ICGNC 2022 - Harbin, China
Duration: 5 Aug 20227 Aug 2022

Publication series

NameLecture Notes in Electrical Engineering
Volume845 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInternational Conference on Guidance, Navigation and Control, ICGNC 2022
Country/TerritoryChina
CityHarbin
Period5/08/227/08/22

Keywords

  • Compensation auction algorithm
  • Multiple constraints
  • Redistribution
  • Weapon target assignment

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