Adaptive dynamic surface control for hypersonic vehicle with input nonlinearity

An adaptive dynamic surface control scheme is proposed for a class of longitudinal dynamics of a hypersonic flight vehicle with unknown input nonlinearity, which comprises dead-zones and sector nonlinearities. The dynamic inversion velocity controller and the dynamic surface attitude controller are proposed, the difficulty caused by the input nonlinear has been overcome. The uncertain nonlinear functions in the flight vehicle model are approximated by neural networks. Moreover, only one parameter needs to be updated online at each step, the computation burden and the explosion of complexity are greatly reduced. It is proved that all signals of the closed-loop system are uniformly ultimately bounded. Simulation results are presented to illustrate the effectiveness of the proposed scheme.