A novel controller based on robust backstepping and neural network for flight motion simulator

Abstract

The flight motion simulator is one kind of servo system with uncertainties and disturbances. To obtain high performance and good robustness for the flight simulator, we present a robust compound controller base on Backstepping controller and BP neural network. Firstly, the design procedure of the robust Backstepping controller is described and correlative problems are proposed. Secondly, the principle and the design process of BP neural network are analyzed and expatiated respectively. Finally, simulation results on the flight simulator show that the BP neural network can compensate external disturbances including system input and output disturbance and the system performance can be improved. Therefore both robustness and high performance of the flight simulator are achieved. It is an applied technology for the control of servo system, such as the flight motion simulator.