The rapid development of science and technology is leading to a significant expansion of the application areas of unmanned aerial systems for various purposes. The key to their effective use of unmanned aerial systems is the quality training of operators, an important element of which is the professional psychological selection of candidates, in particular, the assessment of their sensorimotor reactions. This can be ensured by selecting and justifying appropriate assessment algorithms. The article proposes algorithms that make it possible to estimate the time of sensorimotor reactions of an operator of unmanned aerial systems of the first class based on the accumulation of statistical material and its mathematical processing based on the results of a full-scale experiment. This makes it possible to evaluate the numerical characteristics of the distribution of the duration of the average reaction time in three modes: skill development, under conditions of interference, and under conditions of skill reconstruction, and ultimately to obtain a generalized assessment. By analyzing random continuous values that acquire a value over a certain interval, it was possible to establish standards against which the obtained indicators of sensorimotor reaction time of the operator of unmanned aerial systems of the first class are compared and a conclusion is made about their suitability for training. The results of testing of the proposed algorithms were carried out, statistical series for three evaluation modes were obtained.For a visual representation of the series, the corresponding histograms of the distribution of the duration of the average reaction time were constructed. In order to eliminate the representativeness error, the statistical series were aligned by selecting a theoretical distribution curve for each, which reflects only the essential features of the statistical material. For this purpose, the distribution histogram was approximated by a fourth-degree polynomial. The interval of the theoretical density of the distribution, falling within which the sensorimotor reaction of an arbitrary person is considered normal, is established. For a given probability of such an event, the reliability of such an event is 0.95. To verify the effectiveness of the proposed methodology, an algorithm for estimating the time of sensorimotor reaction of the operator of unmanned aerial systems of class 1 in three modes was synthesized and the corresponding software implementing the developed algorithm was developed. Keywords: unmanned aircraft complexes; sensorimotor reaction; mean reaction time.
In order to meet the needs of the Armed Forces of Ukraine (AFU) for specialists in the operation of unmanned aerial systems, the Zhitomir Military Institute named by S. P. Korolev deployed training for operators - military pilots. While creating the material and technical base, the issue of developing and introducing into the training process of simulators that would meet the requirements of higher military education training. Development of the scientific training system was carried out on the basis of the list of basic training issues, profound mastery of which is mandatory for the UAV operator’s. The training system was developed, manufactured and implemented in the training process, which is built as a schematic-abstracted one to ensure the conditions of effective learning material assimilation. The content basis of the scientific training system is a flat schematic outline of the aircraft, which contains typical onboard equipment of unmanned aerial vehicles and a reconstructed connection scheme of the elements. The power of the onboard equipment is provided from the classroom power supply via a stabilized power supply unit. Operation of the onboard equipment can be controlled from the manual control panel and from the ground control station via the Mission Planner program. The Mission Planner can also be controlled from the X - Plane flight simulator. In flight simulation mode, the Mission Planner screen displays a map of the flight route, the X-Plane screen displays the view and spatial orientation as well as the corresponding servo drives of the aircraft's steering surfaces and the main engine operation modes. The software of the scientific training system allows planning and adjusting the route and flight program, practicing UAV piloting skills in the flight simulator mode, simulating flight in different weather conditions. The scientific training system includes a two-channel hardware-software oscilloscope which allows to research electric processes in different electric lines of airborne equipment of the aircraft and pair interconnections between them. Functional properties of scientific training system allow to study theoretically and practice practically a wide range of training issues required in training of UAV operators. Up to this circle includes both the issues necessary for mastering drone piloting and the issues necessary for mastering the maintenance and repairs of UAV.
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