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CONTENTS #12 (December) 2020

Mathematical Modeling Concept of Physical and Mechanical Characteristics Properties of Composite Materials (p. 3 – 6)

A.V. Markov, O.A. Oreshina

The mathematical modeling concept of the physical and mechanical characteristics properties of composite materials (CM) is proposed. It takes into account the influence of the choice of a function, that links the physical and mechanical effects on structural elements, and the composition of CM with the physical and mechanical characteristics of CM on the accuracy of the mathematical description of CM properties.

Keywords: mathematical model; accuracy of the mathematical model; polymer composite materials; optimization; regression analysis.

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Characteristics of Multifunctional Unmanned Aircraft by the Ward`s Method
(p. 7 – 25)

A.V. Kryanev, S. G. Klimanov, A.V. Poltavsky, S.S. Semenov

An important characteristic when creating unmanned aerial vehicles (UAVs) is their classification. UAV complexes (KBLA) are among the most high-tech objects of new technology and their improvement is in progress. This article discusses various approaches to the classification of existing multifunctional UAVs. One of the promising areas for the development of modern multifunctional airborne aircraft is the development of reconnaissance-strike and strike UAVs. At the same time, it is noted that a stable classification for the UAV class has not yet been developed. The studies carried out using the methods of mathematical analysis showed that the take-off mass of a UAV can be taken as the main estimated indicator. On the basis of clustering by the Ward's method, a classification of reconnaissance-strike and strike UAVs is proposed, consisting of four classes in the range of 1000...25 000 kg.

Keywords: complex of unmanned aerial vehicles; reconnaissance-strike unmanned aerial vehicles; strike unmanned aerial vehicles; estimated indicators; classification; clusterization; Ward's method.

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Method of Autonomous Navigation Based on Inertial and Optoelectronic Measurements for Unmanned Aerial Vehicles of Various Classes (p. 26 – 35)

N.N. Dolzhenkov, D.A. Antonov, A.V. Savkin, D.M. Dryagin

The article presents a method to improving navigation solution of unmanned aerial vehicle in GNSS-denied environment by means of optoelectronic and inertial measurements. The results of modeling synthesized on the basis of the method algorithms are presented.

Keywords: unmanned aerial vehicle; inertial navigation system; optoelectronic system; integrated information processing; simultaneous localization and mapping.

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Forecasting of Spacecraft and Space Debris Fragments Collision Risk (p. 36 – 43)

A.A. Zolotov, E.D. Nurullaev

The presence of space debris fragments in near Earth space can adversely affect the implementation of space programs. This arises the problem of probabilistic assessment for the risk of spacecraft and space debris fragments collision. A model and a method for assessing the risk of spacecraft and structural fragments of various types collision, taking into account the intensity of the flow rate in time due to the launch of new spacecraft, are presented. The efficiency of presented approaches is illustrated with specific examples.

Keywords: space debris; structural fragments; collision risk; flow rate.

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Deep Spiral of the Pilot-Parachute System Switching to Autorotation Mode (p. 44 – 53)

P.I. Ivanov

The movement of the pilot (object)-parachute system in a deep spiral with the subsequent transition to autorotation mode – an intensive self-rotation of the system with large overloads acting on the pilot are considered.

Keywords: deep spiral; autorotation (self-rotation); gliding parachute.

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