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.
Probe-Drogue Simulation Study of Autonomous Aerial Refueling Based on Prediction Model
Lect. Notes Electrical Eng.
International Conference on Guidance, Navigation and Control ; 2024 ; Changsha, China August 09, 2024 - August 11, 2024
2025-03-02
10 pages
Article/Chapter (Book)
Electronic Resource
English
Aerial Refueling Probe/Drogue System
NTIS | 2018
|Probe and drogue system in aerial refueling
Engineering Index Backfile | 1955
|Vision Based Measurement of Refueling Drogue for Autonomous Aerial Refueling
Trans Tech Publications | 2014
|