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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">probener</journal-id><journal-title-group><journal-title xml:lang="ru">Известия высших учебных заведений. ПРОБЛЕМЫ ЭНЕРГЕТИКИ</journal-title><trans-title-group xml:lang="en"><trans-title>Power engineering: research, equipment, technology</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1998-9903</issn><issn pub-type="epub">2658-5456</issn><publisher><publisher-name>Kazan State Power Engineering  University</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.30724/1998-9903-2024-26-5-79-91</article-id><article-id custom-type="elpub" pub-id-type="custom">probener-3139</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>ЭНЕРГЕТИЧЕСКИЕ СИСТЕМЫ И КОМПЛЕКСЫ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>ENERGY SYSTEMS AND COMPLEXES</subject></subj-group></article-categories><title-group><article-title>Разработка алгоритма управления повышающим преобразователем с возможностью динамической коррекции параметров системы управления</article-title><trans-title-group xml:lang="en"><trans-title>Development of a control algorithm for a boost converter with the possibility of dynamic correction of control system parameters</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-7189-8178</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Иванов</surname><given-names>И. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Ivanov</surname><given-names>I. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Иванов Илья Алексеевич – ассистент кафедры Электропривода и автоматизации промышленных установок (ЭАПУ</p><p>г. Новосибирск</p></bio><bio xml:lang="en"><p>Ilya A. Ivanov</p><p>Novosibirsk</p></bio><email xlink:type="simple">i.a.ivanov@corp.nstu.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-3879-3029</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Котин</surname><given-names>Д. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Kotin</surname><given-names>D. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Котин Денис Алексеевич – канд. техн. наук, доцент, заведующий кафедры Электропривода и автоматизации промышленных установок (ЭАПУ)</p><p>г. Новосибирск</p></bio><bio xml:lang="en"><p>Denis A. Kotin</p><p>Novosibirsk</p></bio><email xlink:type="simple">d.kotin@corp.nstu.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Новосибирский государственный технический университет</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Novosibirsk State Technical University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2024</year></pub-date><pub-date pub-type="epub"><day>28</day><month>10</month><year>2024</year></pub-date><volume>26</volume><issue>5</issue><fpage>79</fpage><lpage>91</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Иванов И.А., Котин Д.А., 2024</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="ru">Иванов И.А., Котин Д.А.</copyright-holder><copyright-holder xml:lang="en">Ivanov I.A., Kotin D.A.</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://www.energyret.ru/jour/article/view/3139">https://www.energyret.ru/jour/article/view/3139</self-uri><abstract><p>АКТУАЛЬНОСТЬ исследования заключается в разработке алгоритма управления преобразователем постоянного напряжения, обеспечивающего качественный переходной процесс при широком изменении входных параметров объекта управления, влияющих на его нелинейные свойства. ЦЕЛЬ. Рассмотреть методы разработки непрерывных и дискретных систем управления повышающим преобразователем постоянного напряжения и получить аналитическую зависимость учета нелинейных свойств объекта управления, влияющих на качество регулирования выходного напряжения стабилизатора напряжения. МЕТОДЫ. В качестве метода расчёта коэффициентов системы управления преобразователем постоянного напряжения был выбран метод разделения движения, причем контур тока настраивается на технический оптимум, а контур напряжения на симметричный оптимум. Сравнение полученных аналитических решений математических моделей и имитационных моделей производилось в программной среде SimInTech. РЕЗУЛЬТАТЫ. Результаты моделирования показывают, что аналитическое решение математической модели системы стабилизации напряжения имеет меньшее время переходного процесса, чем результаты имитационного моделирования. Это объясняется тем, что в математической модели, по которой синтезировался непрерывный алгоритм управления, не учитывается наличие силового входного фильтра, а также степень предзаряда силовых конденсаторов. Из-за чего время переходного процесса в имитационных моделях протекает медленнее, примерно в 4 раза, чем в математической модели. ЗАКЛЮЧЕНИЕ. При сравнении алгоритмов управления между собой видно, что алгоритм, полученный путем переоборудования непрерывного алгоритма методом Тустена имеет наименьшее время переходного процесса, чем остальные разработанные алгоритмы. Непрерывный алгоритм и алгоритм, полученный методом обратного преобразования Эйлера, имеют близкое к друг другу быстродействие, а самым медленным является алгоритм, полученный прямым преобразованием Эйлера.</p></abstract><trans-abstract xml:lang="en"><p>RELEVANCE of the study lies in the development of an algorithm for controlling a DC voltage converter capable of providing a high-quality transient process with a wide change in the input parameters of the control object, affecting its nonlinear properties. purpose. THE PURPOSE. To consider methods for the development of continuous and discrete control systems for a step-up DC voltage converter and to obtain an analytical dependence of accounting for the nonlinear properties of the converter that affect the quality of regulation of the output voltage of the voltage stabilizer METHODS. The method of the average geometric root was chosen as a method for calculating the coefficients of the DC voltage converter control system, and the current circuit is adjusted using the technical optimum method, and the voltage circuit using the symmetric optimum method. The obtained analytical solutions of mathematical models and simulation models were compared in the SimInTech software environment. results. RESULTS. The simulation results show that the analytical solution of the mathematical model of the voltage stabilization system has a shorter transition time than the simulation results. This is due to the fact that in the mathematical model according to which the continuous control algorithm was synthesized, the presence of a power input filter, as well as the degree of their precharge, is not taken into account. Because of this, the transition time on simulation models is slower, applied 4 times than in the mathematical model. conclusion. CONCLUSION. When comparing the algorithms with each other, it can be seen that the algorithm obtained by converting a continuous algorithm by the Tusten method has the shortest transition time than all other algorithms. The continuous algorithm and the algorithm obtained by the inverse Euler transformation method have a speed close to each other, and the algorithm obtained by the direct Euler transformation turns out to be the slowest.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>синтез регулятора</kwd><kwd>ПИД-регулятор</kwd><kwd>самоподстройка</kwd><kwd>boost преобразователь</kwd><kwd>SimInTech</kwd><kwd>DC/DC преобразователь</kwd></kwd-group><kwd-group xml:lang="en"><kwd>controller synthesis</kwd><kwd>PID controller</kwd><kwd>self-tuning</kwd><kwd>boost converter</kwd><kwd>SimInTech</kwd><kwd>DC/DC converter</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">Olivares D.E. et al. Trends in Microgrid Control // IEEE Trans. Smart Grid. 2014. Vol. 5, № 4. P. 1905–1919.</mixed-citation><mixed-citation xml:lang="en">Olivares D.E. et al. Trends in Microgrid Control // IEEE Trans. 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