Abstract:  To deal with the loss of stability and quickness in the vertical device of a missile launch vehicle, this paper models the kinematics and hydraulic system. With the established model, precise control of the vertical angel is designed using the backstepping control technique. To model uncertainties and unknown external disturbances, a radial basis function (RBF) neural network disturbance observer is developed. Control precision of the system is improved by using output of the RBF neural network disturbance observer. Simulation results show that good dynamic performance and strong robustness can be obtained under backstepping control of missile launch vehicle erecting device based on the neural network disturbance observer.

Key words: missile launch vehicle, erecting device, neural networks disturbance observer, backstepping control