Autonomous control artificial intelligence technology for operational-tactical unmanned aerial vehicle

Purpose. The developed methods, models and algorithms provide prompt transmission of control commands to UAV control systems with variable levels of complexity, clustering and determination of similarities between different types of spatial objects, determination of coordinates of ground and air objects, expansion of the functionality of the autopilot and flight stabilization systems, improvement of autonomous flight navigation in case of failures of positioning systems, creation of elements of artificial intelligence and intellectualization of decision-making processes.

Specifications. Ability to work with FullHD photo and video cameras, stereo speaker systems; Processor: 64-bit quad-core processor from 1.8GHz; RAM capacity: 4 GB; Network interfaces: Ethernet, wireless network 802.11ac, Bluetooth 5.0 and higher; Supply voltage: 5V.

Application area. Production of air and space aircraft and related equipment.

Advantages. Increasing accuracy when forming a cartographic image of the study area. Intellectualization of decision-making processes, ensuring a high level of efficiency, accuracy and relevance of GIS databases for a wide range of applications.

Technical and economic effect. Increased accuracy in flight control and surveillance and positioning tasks by 31.6% compared to existing analogues.

Description. An on-board intelligent control system for UAVs has been developed that makes it possible to stabilize the angular position and maintain specified flight parameters, compensate for the influence of external factors, automatically work out a given flight path, and ensure group interaction of several UAVs. An autonomous UAV navigation system has been developed using computer vision technologies, which ensures full operation of the autopilot and execution of tasks in the event of a complete loss of communication with the control point or global satellite navigation system. A high-precision multisensor system for determining the coordinates of ground objects with the integration of an optical-acoustic sensor network has been developed. Experimental studies of the developed intelligent information technology were carried out. A complex for managing complex unmanned aircraft systems has been introduced.

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