An Augmented Sliding Mode Control for Fixed-Wing UAVs with External Disturbances and Model Uncertainties

Model uncertainties and external disturbances present significant challenges for controlling fixed-wing unmanned aerial vehicles (UAVs). An adaptive smooth second-order time-varying nonsingular fast terminal sliding mode control method is proposed in this paper attitude airspeed of UAVs with model disturbances. This does not require information about the bounds can avoid overestimation gains. A radial basis function neural network observer designed to mitigate influence caused by sudden The convergence controllers proven using Lyapunov stability theory. Simulation results demonstrate effectiveness a six-degrees-of-freedom UAV.