Aircraft Control with Neural Networks

Abstract

In this study, a controller is designed by using neural networks. Performance of this controller is compared with an another controller which is designed by using classical control methods. They are both tested with the same flight scenario to analyse their capabilities. This comparison provides comprehension about the dynamical capabilities of the neural networks as a controller, so that in further studies, robustness against model uncertainties and sudden unplanned airframe changes may be achieved with a neurocontroller that is subjected to online training.