Adaptive Dynamic Programming based Tracking Control for Hypersonic Vehicles

In this paper, the control problem of hypersonic vehicle is investigated. A nonlinear optimal learning control approach based on adaptive dynamic programming (ADP) is proposed. The controller is composed of sliding mode control (SMC) and ADP control to track the desired velocity and altitude with the external disturbances. First, the hypersonic dynamic model is linearized and the sliding mode control law is designed. Then the ADP controller is used to provide the optimal feedback learning control law by adaptively adjusting the weights of the evaluation network. The stability analysis is carried out with the Lyapunov stability theory. Finally, the effectiveness of the proposed approach is verified by mathematical simulation results.