Design and Implementation of Simulated Aerial Refueling Based on Small Fixed-Wing Cluster UAVs
摘要
This paper represents research and validation of aerial refueling technology for fixed-wing cluster UAVs conducted in Subject 4 of the Unmanned Scramble 2023 event. Firstly, a tanker state estimation method is designed, which can estimate the complete motion state of the tanker during UAV tracking. Second, a relative navigation method based on target features is developed, which utilizes deep neural networks to complete target detection and relative navigation solving. Further, a multi-UAV cooperative refueling control strategy is designed to ensure that the refueling of the cluster UAV is completed in an orderly manner. Finally, the effectiveness of the method is verified by small fixed-wing cluster UAV flight test.