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

被引：0

作者：

Zhu, Shao ^{[1
]}

Quan, Zou ^{[1
]}

Pang Zhekai ^{[1
]}

机构：

[1] Chinese Flight Test Estab, Xian 710089, Shaanxi, Peoples R China

来源：

ADVANCES IN GUIDANCE, NAVIGATION AND CONTROL, VOL 13 | 2025年 / 1349卷

关键词：

Autonomous Aerial Refueling; PSO; Prediction Model; Docking Process;

D O I：

10.1007/978-981-96-2248-1_25

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

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.

引用

页码：258 / 267

页数：10

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