Scholarlink

The movement characteristics of hose-drogue have significant influence on the success rate of Autonomous Aerial Refueling (AAR). The paper starts with the dynamic modeling of the hose-drogue, analyzing the key parameters of the hose-drogue that needed to be calibrated, and then adopts the particle swarm optimization algorithm (PSO) based on the historical aerial refueling data to obtain a more accurate hose-drogue model. A target prediction docking process is established. Simulation test results show that this method can improve the success rate of AAR.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Probe-Drogue Simulation Study of Autonomous Aerial Refueling Based on Prediction Model

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Shao Zhu,
  • Zou Quan,
  • Pang Zhekai

摘要

The movement characteristics of hose-drogue have significant influence on the success rate of Autonomous Aerial Refueling (AAR). The paper starts with the dynamic modeling of the hose-drogue, analyzing the key parameters of the hose-drogue that needed to be calibrated, and then adopts the particle swarm optimization algorithm (PSO) based on the historical aerial refueling data to obtain a more accurate hose-drogue model. A target prediction docking process is established. Simulation test results show that this method can improve the success rate of AAR.