Robust adaptive backstepping sliding mode control of near space vehicle via self-organizing hermite-polynomial-based neural network controller

Abstract

A novel sliding mode method is proposed for near space vehicles with unknown external disturbance, parameter uncertainties and modeling error. The self-organizing hermite-polynomial-based neural network controller is presented to estimate the unknown compound disturbance. Based on it, we propose backstepping sliding mode strategy which may reduce the initial gains and the stability is proved by Lyapunov function. The simulation results demonstrate the effectiveness of the scheme.