Jun Shi

This paper proposes a control method based on adaptive radial basis function neural networks (RBFNN) and dynamic inversion control for unmanned receiver to address the nonlinearities and uncertainties in the autonomous aerial refueling docking process. Following the principle of time-scale separation, the attitude control of the unmanned receiver is divided into fast and slow loops. A dynamic inversion method is employed to design the attitude loop controller, and an adaptive RBFNN system is designed to compensate for system model errors and external disturbances. The efficacy and stability of the designed control method were validated through simulation experiments conducted during autonomous aerial refueling docking. The results indicate that the autonomous aerial refueling docking system based on adaptive RBFNN dynamic inversion control exhibits robustness and adaptability, enabling reliable refueling operations in complex aerial environments and providing reliable support for long-duration unmanned missions.

In this study, we develop an adaptive boundary control strategy with a dynamic event-triggered mechanism (dETM) for an aerial refueling hose system involving certain performance specifications. The controller uses the barrier Lyapunov function method, where the introduction of two boundary deflection transformations, an asymmetric scaling function and a behavior-shaping function, reduces the complexity of the stability analysis and guarantees that the system meets the required performance description. Fuzzy logic systems are developed to strengthen the adaptivity in other unmodeled dynamics. Particularly in this work, the dETM is constructed to decrease the unnecessary signal transmission between the controllers and actuators while achieving vibration suppression. The stability of the controlled systems is proved via Lyapunov analysis. Finally, we establish numerical simulations to illustrate the validity of the designed controllers.

In this study, we propose an adaptive fuzzy event-triggered control scheme for an autonomous aerial refueling hose system involving uncertainty, an event-triggered mechanism, and actuator failures. The unknown nonlinear function is approximated using the designed fuzzy logic systems. Through introduction of the adaptive compensation scheme, the problem of an infinite number of actuator failures, including partial and complete failures, is solved. In addition, the event-triggered control strategy is designed to achieve vibration suppression while decreasing the communication burden between the controllers and actuators. The stability of the closed-loop system is demonstrated via the Lyapunov direct method. Finally, simulation examples are presented to confirm the validity of the proposed control scheme.