基于时标分解的弹性高超声速飞行器智能控制

Considering the longitudinal dynamics of a flexible hypersonic flight vehicle, the time-scale decomposition based intelligent control is proposed. Considering the different time-scale characteristics between the rigid states and the flexible states, the singular perturbation theory is used to conduct the time-scale decomposition such that the vehicle model is transformed to the rigid slow dynamics and the flexible fast perturbation. For the rigid subsystem with dynamics uncertainty, based on the serial-parallel estimation model that can reflect the estimation performance, the prediction error is constructed and the composite learning control is designed. For the flexible subsystem, the adaptive sliding mode control is designed to stabilize the flexible states. The uniformly ultimately bounded stability of the system is proved via the Lyapunov stability analysis. The simulation test shows that the proposed method can guarantee the stable convergence of the whole system and achieve the higher tracking accuracy, the better learning performance and the faster convergence.