The UAV Autonomous Aerial Refueling Controller Based on Predictor Auto Disturbances Rejection Method

An UAV autonomous aerial refueling (AAR) control method is approved in this paper. The flight controller is composed of predictor and auto disturbances rejection control (ADRC). In order to improve the control precision in the capture phase, the kalman filter method is used to predict the next step position. Considering the turbulent flow and the mass changing in the capture and hold phase, ADRC method is used to design the inner loop controller. In order to improve the design efficiency, the parameters of the ADRC are optimized by PSO-Immune algorithm. The simulation results show that the autonomous aerial refueling controller has excellent control performance and high robust ability.