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Registration Number

0223U000705, 0121U100542 , R & D reports

Title

Development and improvement of methods for system analysis, control and research of dynamics, aimed at creating objects of space technology

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Head

Alpatov Anatolii P., Доктор технічних наук

Registration Date

19-01-2023

Organization

Institute of Technical Mechanics of the National Academy of Sciences of Ukraine and the State Space Agency of Ukraine

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Objects of the research are the following: global space activity, space systems of Earth's remote sensing (ERS), orbital servicing (OS) systems, space industrial complexes (SIC), electrodynamic space tether system, machine learning methods, statistical methods of mathematical simulation of the space debris motion. The purpose of the work is the research of model structure of the Earth's remote sensing systems functioning, systems of orbital servicing systems, space industrial complexes, the machine learning methods in control and simulation of spacecraft (SC) dynamics and statistical methods of mathematical simulation of the space debris motion. Research methods are the following: information-analytical, theoretical mechanics, mechanics of space flight, optimization theory, mathematical simulation, deep learning. The following results have been obtained. The analytical model of the impact of zonal harmonics of the geopotential on the spacecraft motion in almost circular orbits has been constructed. The behaviors of the SC's motion in low Earth orbits have been determined. The problems of the space tether systems dynamics have been specified. The structures of ballistic models of scheduled and emergency OS missions have been researched. Neural network models of the impact of an electric propulsion plume on the space debris object (SDO) have been developed. The approach for optimizing the SIC parameters has been proposed. The structure of the mathematical simulation for ballistic and navigation tasks of the SIC for the case eclipsing the Earth's surface has been developed. The possibilities of simulating the orbital motion of SC using artificial neural networks have been researched. The model structure of autonomous space systems functioning using artificial intelligence has been studied. The parametric identification method has been developed for the problem of a SDO motion simulation. The current state of global space activity has been revealed.

Product Description

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Avdeev Anatolii M
Alpatov Anatolii P
Brazhnikova Halyna Y
Vizer Tetiana F
Volosheniuk Oksana L
Holdshtein Yurii M
Zhukova Liubov H
Lapkhanov Erik O
Lomakin Ihor A
Mishchenko Oleksandra V
Mala Valentyna M
Marchenko Victor T
Maslova Anna I
Palii Oleksandr S
Pirozhenko Alexandr V
Prokopchuk Yurii O
Redka Mykhailo O.
Sazina Nadiia P
Svorobin Dmytro S
Siutkina-Doronina Svitlana V
Fokov Oleksandr A
Khoroshylov Serhii V
Khramov Dmitriy A