Graduation Semester and Year




Document Type


Degree Name

Master of Science in Aerospace Engineering


Mechanical and Aerospace Engineering

First Advisor

Atilla Dogan


This thesis presents an analysis of data obtained in an automated aerial refueling test flight conducted with a KC-135 as the tanker and a Learjet 25 as the surrogate receiver UAV. The purpose is to identify the wind induced by the tanker wake and its effect on the receiver aircraft. From the available flight data, a direct computation of the winds experienced by the tanker and receiver is carried out. The mean variation of the receiver wind is compared with the tanker wind when the receiver is at the observation and contact positions. This results in the identification of the wake-induced wind. A power spectrum analysis is conducted to characterize the turbulence and to identify the pilot-effects. The thesis also presents methods used to model (i) prevailing wind, (ii) wake vortex induced wind and (iii) turbulence as the three sources of wind that the aircraft are exposed to and the approach used for incorporating the wind effect into the dynamic simulation of the aircraft. The test flight is simulated in various cases with different turbulence models and flight controllers. The simulation results are analyzed and compared with the flight data in terms of the power spectral densities and mean variations in order to validate the wind and turbulence modeling techniques.


Aerospace Engineering | Engineering | Mechanical Engineering


Degree granted by The University of Texas at Arlington