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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">novtexmech</journal-id><journal-title-group><journal-title xml:lang="ru">Мехатроника, автоматизация, управление</journal-title><trans-title-group xml:lang="en"><trans-title>Mekhatronika, Avtomatizatsiya, Upravlenie</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1684-6427</issn><issn pub-type="epub">2619-1253</issn><publisher><publisher-name>Commercial Publisher «New Technologies»</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.17587/mau.25.656-665</article-id><article-id custom-type="elpub" pub-id-type="custom">novtexmech-1666</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>АВТОМАТИЗАЦИЯ И УПРАВЛЕНИЕ ТЕХНОЛОГИЧЕСКИМИ ПРОЦЕССАМИ И ПРОИЗВОДСТВАМИ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>AUTOMATION AND CONTROL TECHNOLOGICAL PROCESSES</subject></subj-group></article-categories><title-group><article-title>Идентификация колонного оборудования химико-технологических установок при управлении процессами газофракционирования</article-title><trans-title-group xml:lang="en"><trans-title>Distillation Column Identification During Gas Fractioning Process Control</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>Сластенов</surname><given-names>И. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Slastenov</surname><given-names>I. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Аспирант</p></bio><bio xml:lang="en"><p>Slastenov I. V., Postgraduate Student</p><p>Saratov, 410028</p></bio><email xlink:type="simple">igor.slastenov@gmail.com</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>Кушников</surname><given-names>В. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Kushnikov</surname><given-names>V. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Д-р техн. наук, проф., гл. науч. сотр.</p></bio><bio xml:lang="en"><p>Saratov, 410028</p></bio><email xlink:type="simple">kushnikoff@yandex.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>Богомолов</surname><given-names>A. С.</given-names></name><name name-style="western" xml:lang="en"><surname>Bogomolov</surname><given-names>A. S.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Д-р техн. наук, доц., вед. науч. сотр.</p></bio><bio xml:lang="en"><p>Saratov, 410028</p></bio><email xlink:type="simple">alexbogomolov@yandex.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>Иващенко</surname><given-names>В. А.</given-names></name><name name-style="western" xml:lang="en"><surname>. Ivashenko</surname><given-names>V. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Д-р техн. наук, проф., вед. науч. сотр.</p></bio><bio xml:lang="en"><p>Saratov, 410028</p></bio><email xlink:type="simple">ivaiptmu@yandex.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Федеральный исследовательский центр "Саратовский научный центр Российской академии наук"</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Federal State Budgetary Institution Federal Research Centre "Saratov Scientific Centre of the Russian Academy of Sciences"</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2024</year></pub-date><pub-date pub-type="epub"><day>05</day><month>12</month><year>2024</year></pub-date><volume>25</volume><issue>12</issue><fpage>656</fpage><lpage>665</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Commercial Publisher «New Technologies», 2024</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="ru">Commercial Publisher «New Technologies»</copyright-holder><copyright-holder xml:lang="en">Commercial Publisher «New Technologies»</copyright-holder><license xlink:href="https://mech.novtex.ru/jour/about/submissions#copyrightNotice" xlink:type="simple"><license-p>https://mech.novtex.ru/jour/about/submissions#copyrightNotice</license-p></license></permissions><self-uri xlink:href="https://mech.novtex.ru/jour/article/view/1666">https://mech.novtex.ru/jour/article/view/1666</self-uri><abstract><p>Рассмотрена применимость фундаментальных имитационных моделей технологических процессов в системах управления с прогнозированием. Описана роль установок газофракционирования в процессах переработки нефти и газа, а также технологические особенности указанных типов установок, которые обусловливают необходимость обновления параметров прогнозирующих моделей в составе систем усовершенствованного управления технологическим процессом при изменении условий эксплуатации установки. Рассмотрены общепринятые подходы к управлению на основе прогнозирующих моделей установками химико-технологического типа в сфере нефтепереработки и газопереработки. Описаны устройство типовой колонны газофракционирующей установки и физические принципы ее функционирования, а также влияние КПД тарелок колонны на качество разделения жидкости и газа. Построена математическая модель ректификационной колонны, позволяющая прогнозировать изменение режима колонны при заданных начальном состоянии и управляющих воздействиях. В основу указанной модели положены фундаментальные физические законы, в том числе законы сохранения массы и энергии, гидравлические зависимости, учитывающие геометрию колонны и свойства протекающего через колонну вещества. Для расчета фазовых переходов и компонентного состава жидкости и газа на тарелках использовано уравнение состояния Пенга—Робинсона. Формализована постановка задачи идентификации построенной модели в рамках управления технологическим режимом газофракционирующей установки. Рассмотрен общий подход к идентификации и алгоритм идентификации в составе системы управления газофракционирующей установкой на основе прогнозирующей модели. Приведен модельный пример расчета колонны газофракционирующей установки. Определены коэффициенты нормировки компонентов вектора состояния модели колонны для расчета невязки модели относительно экспериментальных данных. Проведены численные эксперименты по идентификации построенной модели колонны на основе расширенного фильтра Калмана. Исследовано влияние различных факторов на возможность и качество идентификации. Определена эффективность рассмотренного метода при наличии шума на выходах объекта, а также отклонении структуры модели от структуры моделируемого оборудования.</p></abstract><trans-abstract xml:lang="en"><p>This article examines the applicability of first principles models of technological processes in model-predicted control. The role of gas fractionation units in refining processes is described, as well as the technological features of such units leading to necessity to update the parameters of predictive models inside advanced process control systems. The generally accepted approaches to control based on predictive control are considered. The structure of a typical column of a gas fractionating unit and the physical principles of its operation, as well as the influence of the efficiency of the column trays on the quality of liquid and gas separation, are described. А mathematical model of a distillation column is constructed. This model is based on fundamental physical laws, including the laws of conservation of mass and energy, hydraulic dependencies, and the properties of the substance flowing through the column. The Peng-Robinson equation of state is used to calculate phase equilibrium and the composition of liquid and gas on column trays. А general approach to identification and an algorithm for identification the model inside a gas fractionation plant control system are considered. А sample case of calculating the gas fractioning column is given. The scaling factors for the column model state vector are determined for calculating the model discrepancy with experimental data. Numerical experiments have been carried out to evaluate the quality of identification of the constructed column model. The influence of various factors on the identification is investigated. The effectiveness of the considered method is determined.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>технологический процесс</kwd><kwd>ректификационная колонна</kwd><kwd>управление с прогнозирующей моделью</kwd><kwd>идентификация</kwd><kwd>имитационное моделирование</kwd></kwd-group><kwd-group xml:lang="en"><kwd>technological process</kwd><kwd>distillation column</kwd><kwd>model predictive control</kwd><kwd>identification</kwd><kwd>process simulation For citation</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">Капустин В. М., Гуреев А. А. Технология переработки нефти. Часть 2. Деструктивные процессы. М.: Колосc, 2007. 334 с.</mixed-citation><mixed-citation xml:lang="en">Kapustin V. M., Gureev А. A. Oil refining technology. Part 2. 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