Research On UAV Aerial Refueling Rendezvous Route Based On Nonlinear Guidance Law

With the continuous development and progress of drone technology,UAVs have already become a key role in modern war air power.In order to meet the needs of ultralong-range combat,expand the UAV battlefield coverage,and maximize the efficiency of UAV missions,UAV aerial refueling technology has emerged at the historic moment.The work done in this thesis is mainly focused on the UAV aerial refueling rendezvous route,and conducts various researches on the application of the guidance law in the aerial refueling reunion mission.First,the main process of aerial refueling rendezvous of UAV is introduced,the advantages and disadvantages of route fusion and fixed point aerial refueling rendezvous are analyzed,and their respective application scenarios are pointed out.Then,the two key tasks in the design of the aerial refueling route are clarified:(1)which guidance method is used to enable the UAV to effectively track the planned flight route;(2)what synchronization and control strategy is adopted to ensure the fuel receiving meet the meeting requirements.Secondly,through the analogy of the guidance law in missile interception missions,the applicability of classic guidance laws such as pure tracking guidance,proportional guidance,and non-linear guidance in the aerial rendezvous rendezvous scenario is studied.Then based on nonlinear guidance law,this thesis proposes an improved guidance algorithm,using virtual targets on the target path as a reference,and iteratively calculating the drone during flight.Simulation verification shows that the improved algorithm can converge to the target path faster than the original algorithm,and has higher tracking accuracy and can meet the situation of different heading angles of the UAV.Finally,in view of the shortcomings of the merging route fusion approach that cannot achieve omnidirectional rendezvous,a fixed-point rendezvous scheme that accepts oil receivers in any direction is designed.The effectiveness of the guidance algorithm and synchronization strategy is verified by simulation experiments.The results show that the changes in the state and control amount of the two machines during the rendezvous meet the performance requirements.