BVR air combat decision making and simulation for UAV formation

Xiao Guang Wang, Wei Guo Zhang, Wei Chen

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

On the background of UAVs' air combat in the condition of the beyond visual range (BVR), the cooperative combat simulation model which integrates situation assessment, target allocation, and loss adjudication is established. Firstly, the situation assessment method based on the artificial potential field is proposed on the analysis of friendly aircrafts' locations and enemy combat power. Then, the memetic algorithm is applied with the purpose of solving the target allocation problem. In this algorithm, the discrete differential evolution algorithm is used to global search and the neighbor search algorithm is used to local search. Finally, to simulate the both sides' exchanging attacks and adjudge their losses, the two step adjudication is introduced to this air combat model. The simulation result shows the effectiveness and feasibility of the proposed model.

Original languageEnglish
Pages (from-to)328-334
Number of pages7
JournalKongzhi yu Juece/Control and Decision
Volume30
Issue number2
DOIs
StatePublished - 1 Feb 2015

Keywords

  • Air combat decision making
  • Memetic algorithm
  • Situation assessment
  • Target allocation

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