ON THE RESEARCH RESULTS OF THE SCIENTIFIC SCHOOL AT THE NATIONAL ACADEMY OF SCIENCES OF UKRAINE "DYNAMICS OF SPACE TECHNOLOGY OBJECTS" IN 2021–2025
This article presents a review of the work carried out from 2021 to 2025 by scientists from the National Academy of Sciences of Ukraine (NAS) representing the "Dynamics of Space Technology Objects" research school. Some of this work concerns a systems analysis of Ukraine's...
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| author | ALPATOV, A. P. |
| author_facet | ALPATOV, A. P. |
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| description | This article presents a review of the work carried out from 2021 to 2025 by scientists from the National Academy of Sciences of Ukraine (NAS) representing the "Dynamics of Space Technology Objects" research school. Some of this work concerns a systems analysis of Ukraine's space industry. Research of spacecraft dynamics and systems was conducted in several areas. These areas are: the development of machine learning methods in spacecraft control, optimization of spacecraft controlled motion, systems for remote sensing of the Earth's surface, deorbiting of space debris, a methodology for conceptual design of an industrial space platform, the problem of space service technology and the formation of a paradigm for stabilizing the Earth's climate based on space systems for shading its surface.
A multiscale model of any signal/variable based on multiformalism, experience, and consensus management was generalized. The model allows for diversification of computational methods and means of obtaining primary information. A scheme for applying morphological calculations to integrate and generalize primary information was developed. The application of modern information technologies to solve problems of spacecraft (SC) dynamics was considered. It was shown that free open-source software (GMAT, Basilisk, OreKit, etc.) is an effective alternative to proprietary packages for modeling the orbital motion of SC, trajectory optimization, and visualization.
An algorithm for preliminary selection of a set of image features used as input information for neural networks was created. This approach allows one to significantly reduce the dimensionality of input data, thereby reducing computational requirements. The advantages of using artificial intelligence methods for space applications were shown. They make it possible to reduce the requirements for control system elements, such as sensors, actuators, to abandon the use of special benches for testing systems, and to reduce development time and cost.
A method was developed for onboard estimation of the relative spatial motion parameters of a non-cooperative orbital servicing target with unknown geometry, based on LiDAR-derived point clouds of the target surface. The algorithm operates on a reduced subset of the point cloud data. The target’s motion parameters are determined as the arguments of an objective function. A formulation of this objective function was proposed such that its extremum corresponds to the correctly identified spatial pose of the target.
A number of current problems related to the development of new technologies used in the creation of satellite systems were considered. This makes it possible to significantly increase the efficiency of Earth remote sensing satellites and their constellations. Increasing their efficiency is associated with solving the problems of designing satellite working orbits, controlling the motion of satellites along these orbits, and forming constellations. A new approach was proposed to solving the problem of the growth of space debris in Earth orbits. It is based on the storage of space debris as raw material in special storage orbits for further processing.
A number of mathematical models were developed to provide a comprehensive assessment framework for a space-based solar radiation mitigation system. The framework enables investigation of the long-term dynamical stability of individual orbital clusters and the structural coherence of the global distributed shading configuration.
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| format | Article |
| id | oai:ojs2.journal-itm.dp.ua:article-168 |
| institution | Technical Mechanics |
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| last_indexed | 2026-04-05T01:00:17Z |
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| spelling | oai:ojs2.journal-itm.dp.ua:article-1682026-04-04T20:10:29Z ON THE RESEARCH RESULTS OF THE SCIENTIFIC SCHOOL AT THE NATIONAL ACADEMY OF SCIENCES OF UKRAINE "DYNAMICS OF SPACE TECHNOLOGY OBJECTS" IN 2021–2025 ALPATOV, A. P. spacecraft dynamics, spacecraft control, space debris, space technology, machine learning methods, industrial space platform. This article presents a review of the work carried out from 2021 to 2025 by scientists from the National Academy of Sciences of Ukraine (NAS) representing the "Dynamics of Space Technology Objects" research school. Some of this work concerns a systems analysis of Ukraine's space industry. Research of spacecraft dynamics and systems was conducted in several areas. These areas are: the development of machine learning methods in spacecraft control, optimization of spacecraft controlled motion, systems for remote sensing of the Earth's surface, deorbiting of space debris, a methodology for conceptual design of an industrial space platform, the problem of space service technology and the formation of a paradigm for stabilizing the Earth's climate based on space systems for shading its surface. A multiscale model of any signal/variable based on multiformalism, experience, and consensus management was generalized. The model allows for diversification of computational methods and means of obtaining primary information. A scheme for applying morphological calculations to integrate and generalize primary information was developed. The application of modern information technologies to solve problems of spacecraft (SC) dynamics was considered. It was shown that free open-source software (GMAT, Basilisk, OreKit, etc.) is an effective alternative to proprietary packages for modeling the orbital motion of SC, trajectory optimization, and visualization. An algorithm for preliminary selection of a set of image features used as input information for neural networks was created. This approach allows one to significantly reduce the dimensionality of input data, thereby reducing computational requirements. The advantages of using artificial intelligence methods for space applications were shown. They make it possible to reduce the requirements for control system elements, such as sensors, actuators, to abandon the use of special benches for testing systems, and to reduce development time and cost. A method was developed for onboard estimation of the relative spatial motion parameters of a non-cooperative orbital servicing target with unknown geometry, based on LiDAR-derived point clouds of the target surface. The algorithm operates on a reduced subset of the point cloud data. The target’s motion parameters are determined as the arguments of an objective function. A formulation of this objective function was proposed such that its extremum corresponds to the correctly identified spatial pose of the target. A number of current problems related to the development of new technologies used in the creation of satellite systems were considered. This makes it possible to significantly increase the efficiency of Earth remote sensing satellites and their constellations. Increasing their efficiency is associated with solving the problems of designing satellite working orbits, controlling the motion of satellites along these orbits, and forming constellations. A new approach was proposed to solving the problem of the growth of space debris in Earth orbits. It is based on the storage of space debris as raw material in special storage orbits for further processing. 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URL:https://www.unoosa.org/documents/pdf/copuos/stsc/2025/ListOfTechnicalPresentations/3_%20Wednesday5th%20/6b_-_UKRAINE_The_general_issues_of_space_sunshade_system_creation_ppt.pdf текст 3 2026-03-31 Article Article https://journal-itm.dp.ua/ojs/index.php/ITM_j1/article/view/168 Technical Mechanics; No. 1 (2026): Technical Mechanics; 3-22 Институт технической механики Национальной академии наук Украины и Государственного космического агентства Украины; № 1 (2026): Technical Mechanics; 3-22 ТЕХНІЧНА МЕХАНІКА; № 1 (2026): ТЕХНІЧНА МЕХАНІКА; 3-22 Copyright (c) 2026 Technical Mechanics |
| spellingShingle | ALPATOV, A. P. ON THE RESEARCH RESULTS OF THE SCIENTIFIC SCHOOL AT THE NATIONAL ACADEMY OF SCIENCES OF UKRAINE "DYNAMICS OF SPACE TECHNOLOGY OBJECTS" IN 2021–2025 |
| title | ON THE RESEARCH RESULTS OF THE SCIENTIFIC SCHOOL AT THE NATIONAL ACADEMY OF SCIENCES OF UKRAINE "DYNAMICS OF SPACE TECHNOLOGY OBJECTS" IN 2021–2025 |
| title_full | ON THE RESEARCH RESULTS OF THE SCIENTIFIC SCHOOL AT THE NATIONAL ACADEMY OF SCIENCES OF UKRAINE "DYNAMICS OF SPACE TECHNOLOGY OBJECTS" IN 2021–2025 |
| title_fullStr | ON THE RESEARCH RESULTS OF THE SCIENTIFIC SCHOOL AT THE NATIONAL ACADEMY OF SCIENCES OF UKRAINE "DYNAMICS OF SPACE TECHNOLOGY OBJECTS" IN 2021–2025 |
| title_full_unstemmed | ON THE RESEARCH RESULTS OF THE SCIENTIFIC SCHOOL AT THE NATIONAL ACADEMY OF SCIENCES OF UKRAINE "DYNAMICS OF SPACE TECHNOLOGY OBJECTS" IN 2021–2025 |
| title_short | ON THE RESEARCH RESULTS OF THE SCIENTIFIC SCHOOL AT THE NATIONAL ACADEMY OF SCIENCES OF UKRAINE "DYNAMICS OF SPACE TECHNOLOGY OBJECTS" IN 2021–2025 |
| title_sort | on the research results of the scientific school at the national academy of sciences of ukraine "dynamics of space technology objects" in 2021–2025 |
| topic_facet | spacecraft dynamics spacecraft control space debris space technology machine learning methods industrial space platform. |
| url | https://journal-itm.dp.ua/ojs/index.php/ITM_j1/article/view/168 |
| work_keys_str_mv | AT alpatovap ontheresearchresultsofthescientificschoolatthenationalacademyofsciencesofukrainequotdynamicsofspacetechnologyobjectsquotin20212025 |