| Samir Suleymanov, Azad Bayramov Unmanned Vehicle Control Architecture Based On Artificial Intelligence |
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| Abstract. In recent years, much attention has been paid to scientific work on development and research in the field of high-precision control of unmanned vehicles, including aircraft. The most optimal way to solve this problem is to use artificial intelligence. Artificial intelligence itself chooses a method for determining (or setting) coordinate-time and other parameters during the movement of an unmanned vehicle. Unmanned vehicles cannot perform their tasks optimally due to their dependence on human control and radio communication limitations. Therefore, autonomous navigation of Unmanned Vehicles plays an important role to obtain optimal results. The various localization, mapping and visual observation methods are used to achieve autonomous navigation. This paper presents the results of developing an algorithm for controlling and navigating an unmanned vehicle using the artificial intelligence method. The process of functioning of an intelligent unmanned vehicle control controller with the choice of a global navigation satellite system: GPS/GNSS, GLONASS, GALILEO or BEIDOU is considered. An algorithm has been developed for using a visual or inertial navigation system to determine the coordinate and time characteristics of an unmanned aerial vehicle in the event of a global satellite navigation system being disconnected (not functioning). In this case, the algorithm for the functioning of the artificial intelligence of the on-board computer itself determines the coordinate-time characteristics of the unmanned aerial vehicle in autonomous flight mode. The proposed algorithm and control architecture are applied to unmanned aerial vehicles performing reconnaissance flights in the monitoring mode. |
| Keywords: autonomous navigation, unmanned vehicle, artificial intelligence, localization, algorithm |
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| DOI: https://doi.org/10.54381/itta2024.41 |