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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">madi</journal-id><journal-title-group><journal-title xml:lang="ru">Автомобиль. Дорога. Инфраструктура. = Avtomobil'. Doroga. Infrastruktura.</journal-title><trans-title-group xml:lang="en"><trans-title>Avtomobil'. Doroga. Infrastruktura.</trans-title></trans-title-group></journal-title-group><issn pub-type="epub">2409-7217</issn><publisher><publisher-name>МАДИ</publisher-name></publisher></journal-meta><article-meta><article-id custom-type="elpub" pub-id-type="custom">madi-1433</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>2.5.11. Наземные транспортно-технологические средства и комплексы</subject></subj-group></article-categories><title-group><article-title>Методика расчета роботов-гексаподов с использованием  метода роя частиц и метода конечных элементов</article-title><trans-title-group xml:lang="en"><trans-title>Methodology for calculating hexapod robots using the particle swarm  method and the finite element method</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>Старостина</surname><given-names>Жанна Анатольевна</given-names></name><name name-style="western" xml:lang="en"><surname>Starostina</surname><given-names>Zhanna A.</given-names></name></name-alternatives><bio xml:lang="ru"><p> канд. техн. наук, доц.</p></bio><bio xml:lang="en"><p>Candidate of Sciences (Technical), associated professor</p></bio><email xlink:type="simple">79645722101@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>Зейн Алдин</surname><given-names>Ариж</given-names></name><name name-style="western" xml:lang="en"><surname>Zein</surname><given-names>Aldin A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>аспирант</p></bio><bio xml:lang="en"><p>postgraduate</p></bio><email xlink:type="simple">areej.zainaldeen.93@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">МАДИ<country>Россия</country></aff><aff xml:lang="en">MADI<country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2024</year></pub-date><pub-date pub-type="epub"><day>26</day><month>12</month><year>2024</year></pub-date><volume>0</volume><issue>4(42)</issue><fpage>5</fpage><lpage>5</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Старостина Ж.А., Зейн Алдин А., 2024</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="ru">Старостина Ж.А., Зейн Алдин А.</copyright-holder><copyright-holder xml:lang="en">Starostina Z.A., Zein A.</copyright-holder><license 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.adi-madi.ru/madi/article/view/1433">https://www.adi-madi.ru/madi/article/view/1433</self-uri><abstract><p>В статье представлена методика расчета на основе комбинации метода роя частиц (МРЧ) и метода конечных элементов (МКЭ). Такая комбинация позволит наилучшим образом оптимизировать конструктивные характеристики роботов-гексаподов. С помощью данной методики появится возможность детального моделирования, а интеграция МКЭ в процесс оптимизации на основе МРЧ создаст условия для системного и всестороннего способа повышения точности и эффективности работы гексапода. Также благодаря внедрению МКЭ-анализа в цикл оптимизации МРЧ алгоритм может эффективно исследовать пространство проектирования, руководствуясь отзывами о производительности, полученными в результате детального структурного анализа. Такое сочетание МРЧ и МКЭ позволяет определить оптимальные конструктивные параметры гексапода, которые отвечают требуемым критериям производительности, таким как вес и жесткость, с учетом основных конструктивных особенностей робота.</p></abstract><trans-abstract xml:lang="en"><p>The article presents a calculation method based on a combination of the particle swarm method (PSO) and the finite element method (FEM), such a combination will best optimize the design characteristics of hexapods. With the help of this technique, detailed modeling will be possible, and the integration of FEM into the optimization process based on MRF will create conditions for a systematic and comprehensive way to improve the accuracy and efficiency of the hexapod. Also, thanks to the introduction of FEM analysis into the MRF optimization cycle, the algorithm can effectively explore the design space, guided by performance reviews obtained as a result of detailed structural analysis. This combination of MRF and FEM makes it possible to determine the optimal design parameters of the hexapod that meet the required performance criteria, such as weight and stiffness, taking into account the main design features of the robot.</p><p>The concept of the calculation method will be able to realize the full potential of the hexapod technology by using the strengths of the FEM in detailed structural analysis and the effectiveness of the MRF method in optimization, this will expand its application in various industries.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>робот-гексапод</kwd><kwd>конструкции гексаподов</kwd><kwd>оптимизация конструкций гексаподов</kwd><kwd>метод роя частиц</kwd><kwd>метод конечных элементов</kwd><kwd>методика расчета гексаподов</kwd></kwd-group><kwd-group xml:lang="en"><kwd>hexapod-robots</kwd><kwd>hexapod design features</kwd><kwd>hexapod design optimization</kwd><kwd>particle swarm method</kwd><kwd>finite element method</kwd><kwd>hexapod calculation and optimization methodology</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">Акдаг, М. 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