EQUIPPING THE RANGE WITH EDUCATIONAL AND TRAINING TOOLS FOR THE TRAINING OF UNMANNED AIRCRAFT OPERATORS

Abstract

It is substantiated that the loss of a control signal or a GPS navigation signal led more often to the loss of an unmanned aerial vehicle (drone). Therefore, when training drone operators, it is suggested to simulate the situation of loss of GPS navigation control signals. At the same time, the use of the Wi-Fi FPV video information transmission channel is proposed. The purpose of the study is to substantiate the proposals for technical equipping of the test site with educational and training facilities for the training of operators of unmanned aerial vehicles. Advantages and disadvantages of drone control systems with the help of an operator (using streaming video in real time) and GPS navigation equipment are considered. It is shown that computer technologies are the basis of educational and training tools and systems of a modern training ground, which make it possible to significantly increase the effectiveness of combat training of both an individual soldier and the coherence of the actions of entire units. With their help, on the basis of appropriate mathematical procedures, the environment is simulated with fairly high accuracy and a realistic picture of combat operations is reproduced. Further integration of modern software products into training equipment allows to expand their functional capabilities in the direction of increasing the quality characteristics of training while simultaneously minimizing material, resource and time costs. This will make it possible to combine separate types of weapons and military equipment, simulators of control devices, into a single training and modeling system for tactical personnel training in a single training complex. Keywords: abstract virtual models, algorithms, combat training, reproduction of environmental conditions, information processing tools, computer and information technologies, mathematical procedures, educational and training tools, tactical and technical requirements, artificial intelligence, machine learning, programs.