Registration Number
0222U000542,
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
12-01-2022
Organization
Institute of Technical Mechanics of the National Academy of Sciences of Ukraine and the State Space Agency of Ukraine
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Object of research - world space activity, space systems of remote sensing of the Earth, systems of orbital service (SOS), space industrial complexes, methods of machine learning in problems of management and modeling of dynamics of spacecraft, statistical methods of modeling of space objects rubbish. The purpose of the work - analysis of trends in world space activities, the state and problems of space remote sensing systems, orbital service systems, space industrial complexes, machine learning methods in control and modeling of spacecraft dynamics and statistical methods of mathematical modeling of space debris. Research methods - information-analytical, systems design, systems analysis, theoretical mechanics, mechanics of space flight, optimization theory, mathematical modeling, deep machine learning. The following results were obtained. The analysis of the world market of transport space systems, satellite remote sensing and communication systems is performed. The basic configuration of a promising space industrial platform is given. The method of parametric identification in the modeling problem in the class of beta-autoregressive models is developed. Trends in the development of optimization methods for the design of rocket and space technology have been identified. Trends in the development of remote sensing systems in low and ultralow orbits have been identified. Ballistic problems of development of SOS systems of space industrial complexes are revealed. Problems of application of methods of management of spatial position of not cooperating object of SOS are defined. An analysis of achievements in the use of deep learning to solve problems of navigation, guidance and control of space systems. Possible areas of application of the results of the study - the design of advanced space systems remote sensing, SOS, orbital industrial complexes, the removal of spacecraft from working orbits, solving problems of the dynamics of orbital systems.
Product Description
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Avdieiev Anatolii Mykolaiovych
Alpatov Anatoliy Petrovych
Brazhnykova Halyna Yehorivna
Vizer Tetiana Fedorivna
Volosheniuk Oksana Leonidivna
Holdshtein Yurii Mykhailovych
Lapkhanov Erik Oleksandrovych
Lomakin Ihor Anatoliiovych
Mishchenko Oleksandra Vasylivna
Mala Valentyna Mykolaivna
Marchenko Viktor Tymofiiovych
Maslova Anna Ivanivna
Palii Oleksandr Serhiiovych
Pervii Bohdan Andriiovych
Pyrozhenko Oleksandr Volodymyrovych
Redka Mykhailo Oleksandrovych
Savchuk Oleksandr Petrovych
Sazina Nadiia Petrivna
Sarychev Oleksandr Pavlovych
Svorobin Dmytro Serhiiovych
Siutkina-Doronina Svitlana Vasylivna
Fokov Oleksandr Anatoliiovych
Khorolskyi Pavlo Petrovych
Khoroshylov Serhii Viktorovych
Khramov Dmytro Oleksandrovych
Chernetska Nina Yakivna
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2022-03-09
