Disturbance Rejection Attitude Controller Design for Launch Vehicle based on Orthogonal Function Neural Network

Abstract

A disturbance rejection attitude controller of launch vehicle based on chebyshev orthogonal function (COF) neural network and proportional-differential (PD) control is proposed to attenuate effect of parameter variation and disturbances of launch vehicle on attitude control accuracy and stability. The chebyshev orthogonal function (COF) neural network is used to estimate and compensate impact of parametric uncertainties and disturbances by taking full advantage of information of gyros and attitude sensors. The designed controller applies proportional-differential control to realize attitude control. Simulation results show that the controller exhibits good dynamic performance, high ability and strong robustness against external disturbance and parameter uncertainty.