Adaptive Tracking Control for Hypersonic Flight Vehicle Using ADHDP

This paper investigates the tracking control problem for the uncertain system of hypersonic flight vehicle (HFV). An adaptive control scheme consisting of an adaptive baseline controller and an auxiliary optimization controller is proposed. The adaptive baseline controller is directly constructed by introducing a high-gain observer and only one neural network, which leads a much simpler design process than the backstepping scheme and does not require precise dynamics of HFv. Besides, action-dependent heuristic dynamic progranuning technology is applied to establish the auxiliary optimization controller, and the difference between the output and its reference signal can be further observed and minished by the auxiliary optimization controller. The stability is proved by Lyapunov theory and the superiority of the proposed strategy is verified by numerical simulation.