Intelligent Anti-disturbance Control of Flight Vehicle for Variable-sweep Process

To address the issue of decreased tracking performance of the control system caused by complex aerodynamic changes during the morphing process of variable-sweep flight vehicle,an active disturbance rejection control method based on action-dependent heuristic dynamic programming is proposed. This method ensures the stability of the morphing process while optimizing the tracking accuracy of the system. Initially,a basic controller utilizing adaptive neural networks is designed to handle model uncertainties and severe external disturbances during the deformation process. This controller,based on disturbance observation and backstepping control method,ensures stable control of the flight vehicle during the morphing process. Subsequently,the tracking error of the basic control system is used as the state input for an action-critic network,which conducts online learning to approximate the optimal compensation control input. This approach eliminates the impact of aerodynamic changes and unmodeled dynamics on tracking performance,thereby enhancing the overall tracking performance of the closed-loop control system of the variable-sweep flight vehicle. Simulation analysis is conducted to validate the effectiveness and superiority of the proposed control method. © 2024 Chinese Society of Astronautics. All rights reserved.