Journal of Theoretical
and Applied Mechanics

43, 2, pp. 297-307, Warsaw 2005

Modelling of UAV flight dynamics using perceptron artificial neural networks

Jerzy Manerowski, Dariusz Rykaczewski
The methodology of modelling flight dynamics of UAV using perceptron artificial neural networks has been presented. The modelling is based on experimental data recorded during flight characteristic and performance tests of UAVs that is a part of a set to give training to anti-aircraft artillery. The artificial neural network structure in ąuasi-static and dynamic flights have been given. The accuracy indexes also have been given.
Keywords: Unmanned Aerial Yehicle (UAV); flight mechanics; mathematical modelling; artificial neural networks