基于双层优化策略的多飞行器协同截获决策方法

Translated title of the contribution: Multi-aircraft cooperative acquisition decision-making method based on double-layer optimization strategy
  • Youxin Liu
  • , Jie Guo*
  • , Haoning Wang
  • , Peilin Li
  • , Shengjing Tang
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Aiming at the problem of multi-aircraft cooperative interception of targets at the end of the shift time under the condition of limited target indication accuracy in long-range defense missions, a fast decision-making method of cooperative interception formation configuration based on double-layer optimization strategy is proposed. By analyzing the characteristics of satellite detection, a mathematical model of target indication area is established based on the least square method. According to the detection characteristics of the aircraft seeker, a mathematical model of multi-aircraft detection and search is established, and a simplified formation configuration optimization decision scenario is constructed. An area coverage algorithm based on Voronoi segmentation optimization is designed to optimize the formation configuration and an adaptive particle swarm optimization algorithm considering the optimization time is designed to complete the cooperative interception decision of the target indication area, which improves the decision-making efficiency. The simulation results show that the proposed double-layer optimization strategy can effectively solve the configuration decision-making problem of multi-aircraft cooperative interception formation for the mathematical model of target indication area and the mathematical model of aircraft detection and search established, and has good decision-making ability and fast response ability.

Translated title of the contributionMulti-aircraft cooperative acquisition decision-making method based on double-layer optimization strategy
Original languageChinese (Traditional)
Pages (from-to)33-43
Number of pages11
JournalAerospace Technology
Issue number6
DOIs
Publication statusPublished - Dec 2025
Externally publishedYes

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