Title :
Vision-Based Autonomous Probe and Drogue Aerial Refueling
Author :
Mati, Roberto ; Pollini, Lorenzo ; Lunghi, Alessio ; Innocenti, Mario ; Campa, Giampiero
Author_Institution :
Dept. of Electr. Syst. & Autom., Pisa Univ.
Abstract :
This paper presents a simulation setup for probe and drogue autonomous aerial refueling. The overall system consists of tanker and UAV models, the hose model, the atmospheric disturbances and the formation keeping controllers and of a robust artificial vision system. The UAV model is a YF-22 developed at West Virginia University. The vision system is employed to allow the UAV to measure its relative displacement from the drogue with no radio communication between the two aircrafts. Simulation results show the performances of the entire system, with a main focus on the vision system
Keywords :
aerospace simulation; aircraft control; computer vision; remotely operated vehicles; UAV model; YF-22 model; artificial vision system; autonomous aerial refueling; hose model; probe-drogue method; tanker model; Atmospheric measurements; Atmospheric modeling; Communication system control; Displacement measurement; Hoses; Machine vision; Probes; Radio communication; Robust control; Unmanned aerial vehicles;
Conference_Titel :
Control and Automation, 2006. MED '06. 14th Mediterranean Conference on
Conference_Location :
Ancona
Print_ISBN :
0-9786720-1-1
Electronic_ISBN :
0-9786720-0-3
DOI :
10.1109/MED.2006.328794
