Application of model-following adaptive neural network control theory in gust load alleviation

Based on the model-following adaptive neural network control theory, a gust load alleviation controller for civil airplanes by direct force control is proposed. For Dryden power spectral density function, the rational spectral theory is used to set up the linear state-space model of the vertical gust. The effects of gust to aircraft are considered to develop the synthesized system model of aircraft and gust. Simulation results show that the gust load alleviation control system based on neural network control theory can obtain good robust stability and the capability of restraining gust turbulence and measurement noises can be obtained by using the method in this paper.