Research of Aircraft Axial Motion Parameters Estimating Model Based on RBF NN and Simulation

摘要

In view of difficulty to calculate the equations and parameters of aircraft axial motion, the Radial Basis Function Neural Network (RBF NN) models were used for estimation of aircraft parameters of the lengthways movement in short period based on RBF NN theory. Estimating structure model of RBF NN and estimating procedure was built, and the distributing of RBF NN to precision was analyzed. The simulation results show that the estimating model of the RBF NN of aircraft axial motion has strongpoint in adapting multi-variable, and high speed and precision.