Using of artificial neural networks (ANN) for aircraft motion parameters identification

Abstract

The application of neural networks to solve an engineering problem is introduced in the paper. Artificial neural networks (ANN) are used for model parameters identification of aircraft motion. Unlike conventional identification methods, neural networks have memory, so results are verified and accumulated during repeated "training" cycles (when new samples of initial data are used). TheDCSL (Dynamic Cell Structure) neural network from "Adaptive Neural Network Library" is selected as the identification tool. The problem is solved using Matlab Simulink tool. The program includes math model of aircraft motion along runway. The data accumulated from flight tests in real conditions were used to form samples for training of neural networks.. The math modeling results have been tested for convergence with experimental data. © 2009 Springer-Verlag.