FORMALIZATION OF ECOLOGICAL MONITORING UNMANNED AERIAL VEHICLE CONTROL SIMULATOR PILOT TRAINING PROBLEM BASED ON INVERSE DYNAMICS PROBLEM SOLUTION

It is created the system of recognition the steganographic-transformed voice commands of unmanned aerial vehicle control based on a cepstral analysis. It provides effective recognition and hidden commands transmission of to the board of an unmanned aerial vehicle, by converting voice control commands into a kind of steganographic characteristics vector, which implies the concealment of voice control information of an unmanned aerial vehicle. The mathematical model of the algorithm for calculating the mel-frequency cepstral coefficients and the recognition classifier of voice control commands for the solution of the problem of semantic identification and securing the control information of the unmanned aerial vehicle in the communication channel is synthesized. A software package has been developed that includes tools for compiling the base of reference voice images of subjects of management for training and testing the system for recognizing steganographic-transformed voice commands of the unmanned aerial vehicle control based on the cepstral analysis and computer models of the proposed methods and algorithms for recognition voice control commands in the MATLAB environment. The expediency of applying the proposed system for recognizing steganographic-transformed voice commands of the unmanned aerial vehicle control based on a cepstral analysis is substantiated and experimentally proved. An algorithm is presented for calculating the mel-frequency cepstral coefficients that appear in the role of the main features of recognition and the result of the steganographic transformation of speech, where for the evaluation of automatic recognition of voice commands using the results of classifier constructed by the criterion of minimum distance in the role which acts as the variance of the difference of the expectation of a mel-frequency cepstral coefficients. The obtained results of the experimental research allow to draw a conclusion about the expediency of further practical application of the developed system of recognition the steganographic-transformed voice commands of the unmanned aerial vehicle control based on the cepstral analysis

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DEVELOPMENT OF METHODS FOR ASSESSMENT AND SELECTION OF UNMANNED AERIAL VEHICLE FOR MINE RECONNAISSANCE

ScienceRise ◽

10.21303/2313-8416.2020.001496 ◽

2020 ◽

pp. 44-50

Author(s):

Vadym Neroba

Keyword(s):

Unmanned Aerial Vehicle ◽

Comparative Assessment ◽

Problem Solution ◽

Special Equipment ◽

Long Time ◽

Aerial Vehicle ◽

Scientific Results ◽

The One ◽

Selection Of ◽

Technological Product

Object of research: comparative assessment and selection of an unmanned aerial vehicle for mine reconnaissance sample. Investigated problem: substantiation of the methodological apparatus for comparative assessment and selection of an unmanned aerial vehicle for mine reconnaissance sample, taking into consideration the presence of both quantitative and qualitative indicators. Main scientific results: the methods of comparative assessment and selection of an unmanned aerial vehicle for mine reconnaissance sample is developed. The technique is based on an expert method, which allows a drone sample to be evaluated and selected objectively, taking into consideration the presence of both quantitative and qualitative indicators. At the same time, group interaction and discussion of experts are realized. When the judgments do not coincide, an artificial consensus is not imposed. The number of experts is not limited. The experts are not linked in any way. The need to ensure transitive consistency (10–12 %) makes it possible to record attempts by an expert (experts) to artificially overestimate the indicators of one of the drone samples (or the one being evaluated), therefore, the indicators of another sample will automatically deteriorate. The principle of impartiality and fairness is maintained. A well-trained objective coordinator is not required, and the reality is that the absence of the disrupting the problem solution possibility is due to a change in the psychological situation among the experts. Area of practical use of research results: humanitarian demining in the interests of ensuring the detection of mines for various purposes by sappers from a safe distance. At the same time, an increase within the probability of mines detecting is ensured due to special equipment installed onboard the drone. Innovative technological product: a technique has been developed that allows not only assessing the drone samples for mine reconnaissance objectively, but making an objective choice of a sample for specific requirements also. Scope of application of the innovative technological product: clearance of the terrain remaining after the end of hostilities. With the help of unmanned aerial vehicles, a significant acceleration of the demining process is possible, especially in those territories where mines are installed and being for a sufficiently long time.

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Unmanned aerial vehicle pilot training

10.26552/pas.z.2021.2.38 ◽

2021 ◽

Author(s):

Nikola Sklaličanová ◽

◽

Branislav Kandera

Keyword(s):

Unmanned Aerial Vehicles ◽

Unmanned Aerial Vehicle ◽

Mental Workload ◽

Pilot Training ◽

Flight Simulator ◽

Practical Training ◽

Individual Measurement ◽

Measurement Results ◽

Aerial Vehicle ◽

The Individual

The paper titled "Unmanned aerial vehicle pilot training" is focused on the analysis of unmanned aerial vehicle pilot training and the importance of using an unmanned flight simulator during the practical training of unmanned aerial vehicle pilots. For the realization of the paper, we used a device that served to measure the mental workload of unmanned aerial vehicle pilots during simulated and practical flight. Our experiment involved 5 unmanned aerial vehicle pilots in training who had zero or minimal flying experience. The aim of this work was to investigate to what extent mental workload acts on UAV pilots during simulated and practical flights. The measurements and their analysis showed that a much greater load is exerted on the pilots of unmanned aerial vehicles during practical flight. Through a primary experiment of already experienced pilots, we concluded that the majority of respondents would welcome the opportunity to use an unmanned flight simulator during their training. The paperconcludes with a summary of the individual measurement results, graphical representations of the respondents' answers, as well as an implementation design that could be applied to the training of UAV pilots.

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An algorithm of unmanned aerial vehicle control in search and rescue operations

Izvestiâ vysših učebnyh zavedenij Priborostroenie ◽

10.17586/0021-3454-2017-60-12-1124-1129 ◽

2017 ◽

pp. 1124-1129

Author(s):

A.B. Bushuev ◽

Yu.V. Litvinov ◽

A.I. Tyurin ◽

G.M. Shmigelsky ◽

E.G. Shchaev

Keyword(s):

Unmanned Aerial Vehicle ◽

Vehicle Control ◽

Search And Rescue ◽

Aerial Vehicle

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