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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="research-article" dtd-version="1.2" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">RUDN Journal of Engineering Research</journal-id><journal-title-group><journal-title xml:lang="en">RUDN Journal of Engineering Research</journal-title><trans-title-group xml:lang="ru"><trans-title>Вестник Российского университета дружбы народов. Серия: Инженерные исследования</trans-title></trans-title-group></journal-title-group><issn publication-format="print">2312-8143</issn><issn publication-format="electronic">2312-8151</issn><publisher><publisher-name xml:lang="en">Peoples’ Friendship University of Russia named after Patrice Lumumba (RUDN University)</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">35137</article-id><article-id pub-id-type="doi">10.22363/2312-8143-2023-24-2-121-134</article-id><article-id pub-id-type="edn">BVYDIT</article-id><article-categories><subj-group subj-group-type="toc-heading" xml:lang="en"><subject>Articles</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="ru"><subject>Статьи</subject></subj-group><subj-group subj-group-type="article-type"><subject>Research Article</subject></subj-group></article-categories><title-group><article-title xml:lang="en">Management decision support algorithm for autonomous spacecraft’s control in the planet’s atmosphere</article-title><trans-title-group xml:lang="ru"><trans-title>Алгоритм поддержки принятия управленческих решений при автономном управлении космическими аппаратами в атмосфере планеты</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-2733-4479</contrib-id><contrib-id contrib-id-type="scopus">57193905914</contrib-id><contrib-id contrib-id-type="spin">5313-6772</contrib-id><name-alternatives><name xml:lang="en"><surname>Orlov</surname><given-names>Dmitry A.</given-names></name><name xml:lang="ru"><surname>Орлов</surname><given-names>Дмитрий Александрович</given-names></name></name-alternatives><bio xml:lang="en"><p>Ph.D of Technical Sciences, Associate Professor of the Department of Mechanics and Control Processes, Academy of Engineering</p></bio><bio xml:lang="ru"><p>кандидат технических наук, доцент департамента механики и процессов управления, инженерная академия</p></bio><email>orlov-da@rudn.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-8657-2282</contrib-id><contrib-id contrib-id-type="scopus">57201885865</contrib-id><contrib-id contrib-id-type="spin">2287-2902</contrib-id><name-alternatives><name xml:lang="en"><surname>Kupreev</surname><given-names>Sergei A.</given-names></name><name xml:lang="ru"><surname>Купреев</surname><given-names>Сергей Алексеевич</given-names></name></name-alternatives><bio xml:lang="en"><p>Doctor of Sciences (Techn.), Professor of the Department of Mechanics and Control Processes, Academy of Engineering</p></bio><bio xml:lang="ru"><p>доктор технических наук, профессор департамента механики и процессов управления, инженерная академия</p></bio><email>kupreev-sa@rudn.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-8350-9384</contrib-id><contrib-id contrib-id-type="spin">6613-5152</contrib-id><name-alternatives><name xml:lang="en"><surname>Samusenko</surname><given-names>Oleg E.</given-names></name><name xml:lang="ru"><surname>Самусенко</surname><given-names>Олег Евгеньевич</given-names></name></name-alternatives><bio xml:lang="en"><p>Ph.D of Technical Sciences, Head of the Department of Innovation Management in Industries, Academy of Engineering</p></bio><bio xml:lang="ru"><p>кандидат технических наук, директор департамента инновационного менеджмента в отраслях промышленности, инженерная академия</p></bio><email>samusenko@rudn.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-2114-7891</contrib-id><contrib-id contrib-id-type="scopus">16646368100</contrib-id><name-alternatives><name xml:lang="en"><surname>Melnikov</surname><given-names>Vitaly M.</given-names></name><name xml:lang="ru"><surname>Мельников</surname><given-names>Виталий Михайлович</given-names></name></name-alternatives><bio xml:lang="en"><p>Academician of the K.E. Tsiolkovsky Russian Academy of Cosmonautics and International Academy of Informatization, Doctor of Sciences (Techn.), Professor of the Department of Mechanics and Control Processes, Academy of Engineering</p></bio><bio xml:lang="ru"><p>академик Российской академии космонавтики имени К.Э. Циолковского и Международной академии информатизации, доктор технических наук, профессор департамента механики и процессов управления, инженерная академия</p></bio><email>vitalymelnikov45@yandex.ru</email><xref ref-type="aff" rid="aff1"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">RUDN University</institution></aff><aff><institution xml:lang="ru">Российский университет дружбы народов</institution></aff></aff-alternatives><pub-date date-type="pub" iso-8601-date="2023-06-30" publication-format="electronic"><day>30</day><month>06</month><year>2023</year></pub-date><volume>24</volume><issue>2</issue><issue-title xml:lang="en">VOL 24, NO2 (2023)</issue-title><issue-title xml:lang="ru">ТОМ 24, №2 (2023)</issue-title><fpage>121</fpage><lpage>134</lpage><history><date date-type="received" iso-8601-date="2023-07-02"><day>02</day><month>07</month><year>2023</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2023, Orlov D.A., Kupreev S.A., Samusenko O.E., Melnikov V.M.</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2023, Орлов Д.А., Купреев С.А., Самусенко О.Е., Мельников В.М.</copyright-statement><copyright-year>2023</copyright-year><copyright-holder xml:lang="en">Orlov D.A., Kupreev S.A., Samusenko O.E., Melnikov V.M.</copyright-holder><copyright-holder xml:lang="ru">Орлов Д.А., Купреев С.А., Самусенко О.Е., Мельников В.М.</copyright-holder><ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/><license><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">https://creativecommons.org/licenses/by-nc/4.0/legalcode</ali:license_ref></license></permissions><self-uri xlink:href="https://journals.rudn.ru/engineering-researches/article/view/35137">https://journals.rudn.ru/engineering-researches/article/view/35137</self-uri><abstract xml:lang="en"><p style="text-align: justify;">A new algorithm for making autonomous decisions when controlling spacecraft carrying out descent in the atmosphere is developed, which allows to carry out stable control of the spacecraft relative to the nominal flight trajectories, which provide to reliably fulfill the targets of space missions. Analytical dependences are formed, with the help of which it is possible to obtain high-precision calculations of the parameters of the movement of a spacecraft in the atmosphere and determine corrective programs for controlling the apparatus. This makes it feasible to implement the movement of a spacecraft in the atmosphere along trajectories close to optimal, even under conditions of significant influence of disturbing factors on the dynamics of the flight of the vehicle. The authors give an estimate of the performance of the algorithm for making autonomous decisions on the example of parrying disturbing influences during the descent of a spacecraft in the atmospheres of Mars and Jupiter. It is shown that with complete qualitative agreement between the data calculated using the analytical dependences and the results of numerical integration, the computational errors do not exceed 3%. With the most unfavorable combinations of navigation errors and atmospheric density variations, the development of the corrective control programs developed in most cases ensures a qualitative coincidence of the disturbed and nominal trajectories. The developed algorithm for making autonomous decisions based on analytical dependencies can be effectively applied when a spacecraft moves in planetary atmospheres under various boundary conditions, constraints, design characteristics of the spacecraft and atmosphere models.</p></abstract><trans-abstract xml:lang="ru"><p style="text-align: justify;">Разработан новый алгоритм принятия автономных решений при управлении космическими аппаратами, осуществляющими спуск в атмосфере, который позволяет осуществить устойчивое управление космическим аппаратом относительно номинальных траекторий полета, что обеспечивает возможность надежного выполнения целевых задач космических миссий. Сформированы аналитические зависимости, с помощью которых можно получить высокоточные расчеты параметров движения космического аппарата в атмосфере и определить корректирующие программы управления аппаратом. Это позволяет реализовать движение космического аппарата в атмосфере по траекториям, близким к оптимальным, даже в условиях значительных воздействий возмущающих факторов на динамику полета аппарата. Дана оценка работоспособности алгоритма принятия автономных решений на примере парирования возмущающих воздействий при спуске космического аппарата в атмосферах Марса и Юпитера. Показано, что при полном качественном совпадении данных, рассчитанных с использованием аналитических зависимостей и результатов численного интегрирования, вычислительные погрешности не превышают 3 %. При наиболее неблагоприятных сочетаниях навигационных ошибок и вариаций плотности атмосферы отработка составленных корректирующих программ управления в большинстве случаев обеспечивает качественное совпадение возмущенных и номинальных траекторий. Разработанный алгоритм принятия автономных решений на основе аналитических зависимостей может быть эффективно применен при движении космического аппарата в атмосферах планет при различных краевых условиях, ограничениях, проектных характеристиках аппарата и моделях атмосферы.</p></trans-abstract><kwd-group xml:lang="en"><kwd>autonomous control</kwd><kwd>knowledge base</kwd><kwd>identification of flight situations</kwd><kwd>contingency</kwd><kwd>decision making</kwd><kwd>onboard equipment</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>база знаний</kwd><kwd>идентификация полетных ситуаций</kwd><kwd>нештатная ситуация</kwd><kwd>принятие решений</kwd><kwd>бортовая аппаратура</kwd></kwd-group><funding-group/></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><citation-alternatives><mixed-citation xml:lang="en">Okhotsimskyi DE, Golubev YuF, Sykharulidze YuG. Algorithm of control of the spacecraft during reentry into the atmosphere. Moscow: Nauka Publ.; 1975. 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