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<article article-type="research-article" dtd-version="1.3" 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" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">izvestswsu</journal-id><journal-title-group><journal-title xml:lang="ru">Известия Юго-Западного государственного университета</journal-title><trans-title-group xml:lang="en"><trans-title>Proceedings of the Southwest State University</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2223-1560</issn><issn pub-type="epub">2686-6757</issn><publisher><publisher-name>ЮЗГУ</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.21869/2223-1560-2022-26-1-116-128</article-id><article-id custom-type="elpub" pub-id-type="custom">izvestswsu-976</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>Информатика, вычислительная техника и управление</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>Computer science, computer engineering and IT managment</subject></subj-group></article-categories><title-group><article-title>Совместное моделирование нечеткой двусвязной системы управления продольным точением в MSC.Adams и Matlab</article-title><trans-title-group xml:lang="en"><trans-title>Joint Modeling of a Fuzzy Two-Connected Longitudinal Turning Control System in MSC. Adams and Matlab</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Белоусов</surname><given-names>А. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Belousov</surname><given-names>A. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Белоусов Александр В., кандидат технических наук</p><p>ул. Костюкова, д. 46, г. Белгород 308012</p></bio><bio xml:lang="en"><p>Alexander V. Belousov, Cand. Of Sci. (Engineering), Director of the Institute of Energy</p><p>46, Kostyukova str., Belgorod 308012</p></bio><email xlink:type="simple">anna.vasilevna@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Рыбина</surname><given-names>А. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Rybina</surname><given-names>A. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Рыбина Анна В., аспирант</p><p>ул. Костюкова, д. 46, г. Белгород 308012</p></bio><bio xml:lang="en"><p>Anna V. Rybina, Post-Graduate Student, Department of Technical Cybernetics</p><p>46, Kostyukova str., Belgorod 308012</p></bio><email xlink:type="simple">anna.vasilevna@mai.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Белгородский государственный технологический университет им. В. Г. Шухова</institution></aff><aff xml:lang="en"><institution>Belgorod State Technological University named after V.G. Shukhov</institution></aff></aff-alternatives><pub-date pub-type="collection"><year>2022</year></pub-date><pub-date pub-type="epub"><day>28</day><month>06</month><year>2022</year></pub-date><volume>26</volume><issue>1</issue><fpage>116</fpage><lpage>128</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Белоусов А.В., Рыбина А.В., 2022</copyright-statement><copyright-year>2022</copyright-year><copyright-holder xml:lang="ru">Белоусов А.В., Рыбина А.В.</copyright-holder><copyright-holder xml:lang="en">Belousov A.V., Rybina A.V.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://izvestswsu.elpub.ru/jour/article/view/976">https://izvestswsu.elpub.ru/jour/article/view/976</self-uri><abstract><p>Цель исследования. В статье рассматривается возможность разработки и моделирования нечеткой двусвязной системы управления процессом токарной обработки деталей на основе совместного применения программы для создания виртуальных моделей MSC.Adams и пакета математического анализа Matlab. Актуальность темы исследования связана с тенденцией применения в отечественном и зарубежном станкостроении функций искусственного интеллекта для компенсации температурных деформаций, силовых и вибрационных возмущений, мониторинга состояния инструментов, адаптивного управления с учетом фактического состояния процесса резания в режиме реального времени. При проектировании новых систем управления процессом токарной обработки изделий важной задачей является создание математических и виртуальных моделей и синтеза интеллектуальных алгоритмов управления, обеспечивающих решение задач в условиях воздействия неопределенных возмущений.Методы. Для разработки математической модели и ее анализа применены основы теории нечетких множеств в задачах управления, теории металлообработки, методы математического моделирования систем управления. Синтез нечеткого регулятора и виртуальная модель выполнены с помощью современных прикладных программных пакетов Matlab и MSC.Adams.Результаты. В статье представлен алгоритм нечеткого управления резанием и его реализация в среде Simulink с передачей данных в MSC.Adams, а также виртуальный прототип токарного станка в MSC.Adams. Приведены и проанализированы графики виброперемещений режущей кромки инструмента, изменения температуры и силы резания.Заключение. Результаты тестирования модели показывают, что использование совместного моделирования нечеткой двусвязной системы управления токарной обработкой возможно для решения задачи повышения эффективности обработки на действующем оборудовании в условиях воздействия неопределенных возмущений.</p></abstract><trans-abstract xml:lang="en"><p>Purpose of research. The article considers the possibility of developing and modeling a fuzzy bipartite control system of the turning process based on the joint application of the program for creating virtual models MSC.Adams and mathematical analysis package Matlab. The relevance of the research topic is related to the trend of application of artificial intelligence functions in domestic and foreign machine tool industry for compensation of temperature deformations, force and vibration disturbances, tool condition monitoring, adaptive control taking into account the actual state of the cutting process in real time. In designing new control systems of the turning process, an important task is to create mathematical and virtual models and synthesis of intelligent control algorithms, providing solutions to problems under conditions of uncertain perturbations.Methods. For the development of the mathematical model and its analysis basics of the theory of fuzzy sets in the problems of control, theory of metalworking, methods of mathematical modeling of control systems have been applied. The synthesis of fuzzy controller and virtual model have been developed with the help of modern applied software packages Matlab and MSC.Adams.Results. The fuzzy cutting control algorithm and its implementation in the Simulink environment with the data transfer to MSC.Adams, as well as the virtual prototype of the lathe in MSC.Adams are presented in the article. Graphs of the vibration movements of the cutting edge of the tool, changes in temperature and cutting force are given and analyzed.Conclusion. The results of model testing show that the use of joint modeling of fuzzy two-connected turning control system is possible to solve the problem of improving the efficiency of machining on the operating equipment under the influence of uncertain disturbances.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>продольное точение</kwd><kwd>процесс резания</kwd><kwd>температура резания</kwd><kwd>вибрации</kwd><kwd>виртуальная модель</kwd><kwd>MSC.Adams</kwd><kwd>шероховатость</kwd></kwd-group><kwd-group xml:lang="en"><kwd>longitudinal turning</kwd><kwd>cutting process</kwd><kwd>cutting temperature</kwd><kwd>vibrations</kwd><kwd>virtual model</kwd><kwd>MSC.Adams</kwd><kwd>roughness</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Кабалдин Ю.Г. Искусственный интеллект и киберфизические механообрабатывающие системы в цифровом производстве. НГТУ им. Р.Е. 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