Adaptive neural control design for hypersonic aircraft using time scale separation

This paper presents the design of a neural adaptive flight control systems for the longitudinal dynamics of hypersonic vehicle. By considering the coupling between thrust and pitch moment, the proposed control strategy is derived from the solutions of a series of fast dynamical equations, which are designed by the combination of back-stepping control and time scale separation. The RBF neural networks are employed to approximate the unknown dynamics. Simulation results are included to show the effectiveness of the neural adaptive control method.