Terminal Iterative Learning Control for Autonomous Aerial Refueling under Aerodynamic Disturbances
For autonomous aerial refueling systems, this method addresses docking errors due to aerodynamic disturbances, but the improvement is incremental.
The paper proposes a terminal iterative learning control method for probe-drogue aerial refueling to compensate for docking errors caused by aerodynamic disturbances. Simulations show fast learning speed and successful docking under disturbances including bow wave effect.
This paper studies the model of the probe-drogue aerial refueling system under aerodynamic disturbances, and proposes a docking control method based on terminal iterative learning control to compensate for the docking errors caused by aerodynamic disturbances. The designed controller works as an additional unit for the trajectory generation function of the original autopilot system. Simulations based on our previously published simulation environment show that the proposed control method has a fast learning speed to achieve a successful docking control under aerodynamic disturbances including the bow wave effect.