To solve the control problem of a general hypersonic vehicle，which is a complex nonlinear uncertain system, a robust adaptive integrator backsetpping control strategy based on wavelet neural network is proposed. Integrator is used to decrease tracking error of the system. The system asymptotically tracks the desired output by means of on-line studying uncertainties and the derivative of virtual item via wavelet neural network, so robustness is enhanced. Robust items are designed to eliminate approximate error of the wavelet network. Theoretical analysis is done to validate Lyapunov stability of the system. The simulation results show that the developed method is effective and can be used to deal with the problem of uncertain parameters preferably.