Математическое моделирование, компьютерный и натурный эксперимент в естественных науках
Электронный научный журнал

Технические науки
Use of a Neural Network for Constructing an Algorithm for Stabilizing an Unmanned Aircraft of a Helicopter Type
Ermakov R.V. 1, Lvov A.A. 1, Novikov A.R. 1, Livshits D.Yu. 1

1. Yuri Gagarin State Technical University of Saratov

Abstract:

The article deals with the problems of implementing control systems for small unmanned aerial vehicles. The disadvantages of existing algorithms for stabilizing the helicopter in space are noted. A new algorithm for stabilizing the vertical channel of an unmanned aerial vehicle of a helicopter type, based on the use of a neural network approximation of the nonlinear dynamics of a helicopter, is proposed. The advantage of the proposed approach is that there is no need for a priori knowledge of the dynamic properties of an aircraft, which, as a rule, are not reliably known in the case of small unmanned aerial vehicles of a helicopter type. ____________________________________________________________________________________________________________________________________________________ https://doi.org/10.24411/2541-9269-2020-00002

Keywords: unmanned aerial vehicle of helicopter type, neural network, automatic control system

Сайт работает на RAE Editorial System