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EN
Using drones in groups in the military field is not a novel idea. A massive attack by a large amount of equipment is known to be very difficult to prevent. Therefore, it is a good tactic to sacrifice some of the relatively cheap drones to destroy special enemy targets in a massive attack. This raises the issue of joint control of the behaviour of a group of drones. This paper proposes a System of Systems ideology-based decision-making system that allows to individually control each drone in a group flight. An algorithm is developed that allows controlling drones by controlling their speed.
EN
Errors in the calculation of the parameters of quadcopter control models at design stage significantly change the desired aerodynamic properties of the drone and make it difficult to control its flight along the intended path. Therefore, to calculate the adequate operation modes of the blades, it becomes necessary to refine some parameters of the mathematical model of the drone as accurately as possible. This paper shows the possibility of using control parameters (rotational speed of the blades) and information received from navigation devices of the drone to refine the values of the parameters of the mathematical model of the drone. For this purpose, a mathematical model of a quadcopter is built, and the problem of refining the parameters of its dynamic model is investigated based on the information received from navigation devices and the control parameters in the initial period of its flight. From the results obtained from several consecutive measurements, a system of equations expressing a mathematical model is solved. The mean value of the corresponding solutions of the system of three-dimensional linear equations obtained at different time intervals is the refined value of the parameters.
EN
In this paper, the problem of data bundling from different channels to determine the current location of a military aircraft belonging to the platform navigation system was investigated. The calculation of the data bundling coefficients by the least-squares method is proposed based on the data related to loads, orientation angles and speed recorded in the black box during the flight. Data from different channels (speed channel, load channel and GPS channel) are converted to like quantities (expressed as speed). The bundling coefficients (weight coefficients) of the speed and load channels data are calculated based on the GPS data of the flight start time (approximately 30-60 seconds of flight). Using these weight coefficients, the speed and load channels data are bundled, and the trajectory of the aircraft over the entire duration of the flight is plotted. This approach allows obtaining a satisfactory flight path in real-time for the subsequent flight period.
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