Integration of modeling methods for studying the characteristics of unmanned aerial vehicles


Аuthors

Oreshina M. N.*, Fekhretdinova L. N.**

Plekhanov Russian University of Economics, PRUE, 36, Stremyanny per., Moscow, 117997, Russia

*e-mail: oreshina.mn@rea.ru
**e-mail: lfekhretdinova@gmail.com

Abstract

The purpose of the work is to integrate modeling methods to create simulation models of unmanned aerial vehicles (UAVs) with the possibility of varying characteristics. The relevance of the research is due to the growing demands on the effectiveness and safety of their use in various fields, including military, civilian and scientific. UAV simulation models created using generative design, neural network approach, and virtual reality technologies make it possible to reproduce flight characteristics, optimize control, and explore various use cases without the need for expensive and potentially dangerous field tests.
In the study of the influence of various external influences on the trajectory of the UAV flight, methods of integro-differential calculus were used, methods of control theory were used to control the flight of models, generative design methods and appropriate software environments for modeling were used to create 3D models. The accuracy of the behavior of simulation models depends on the correctness of the set initial parameters.
The integration of modeling methods for the creation and research of simulation models during ground and flight tests of samples of promising aircraft allows us to calculate with high accuracy the impact of external influences on the characteristics of UAVs. The proposed set of simulation models can be used as simulators for UAV operators.
The creation of simulation models of unmanned aerial vehicles is an important and relevant process that finds its application in various fields, including military, civil aviation and scientific research. This paper examines the key aspects related to the development of such models, as well as their application to solve various problems.

Keywords:

unmanned aerial vehicle, control, simulation model, mathematical modeling, programming environments, information technology

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