Constrained Neural Adaptive Control for Scramjet-Powered Hypersonic Space Vehicle

A neural adaptive control for hypersonic space vehicle (HSV) with angle of attack (AOA) constraint is investigated. The control system is decomposed into velocity subsystem and altitude subsystem. For velocity subsystem, a neural adaptive controller is proposed to handle the saturation problem of the scramjet input (i.e., fuel-to-air equivalency ratio, FER). Aiming at the AOA constraint problem of the altitude subsystem, a neural adaptive controller based on barrier Lyapunov function is designed for altitude tracking. Simulation shows that the proposed control has fast tracking performance and can synthetically deal with constrained AOA, model uncertainty and external disturbances.