<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "JATS-journalpublishing1-3.dtd">
<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">izmertech</journal-id><journal-title-group><journal-title xml:lang="ru">Измерительная техника</journal-title><trans-title-group xml:lang="en"><trans-title>Izmeritel`naya Tekhnika</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">0368-1025</issn><issn pub-type="epub">2949-5237</issn><publisher><publisher-name>ФГУП "ВНИИФТРИ"</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.32446/0368-1025it.2024-4-4-15</article-id><article-id custom-type="elpub" pub-id-type="custom">izmertech-2117</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>ОБЩИЕ ВОПРОСЫ МЕТРОЛОГИИ И ИЗМЕРИТЕЛЬНОЙ ТЕХНИКИ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>GENERAL PROBLEMS OF METROLOGY AND MEASUREMENT TECHNIQUES</subject></subj-group></article-categories><title-group><article-title>Устойчивое решение задачи автономной навигации подвижных объектов на аналитических траекторных интервалах по результатам инерциальных измерений</article-title><trans-title-group xml:lang="en"><trans-title>Stable solution to the problem of autonomous navigation of moving objects on analytical trajectory intervals based on the results of inertial measurements</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>Соколов</surname><given-names>С. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Sokolov</surname><given-names>S. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Соколов Сергей Викторович - заведующий кафедрой "Информатика и вычислительная техника" Северо-Кавказского филиала МТУСИ.</p><p>Москва</p></bio><bio xml:lang="en"><p>Sergey V. Sokolov - Head of the Department of Informatics and Computer Science of North Caucasus branch of the Moscow Technical University of Communications and Informatics.</p><p>Moscow</p></bio><email xlink:type="simple">s.v.s.888@yandex.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/0000-0001-5795-8146</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Маршаков</surname><given-names>Д. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Marshakov</surname><given-names>D. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Маршаков Даниил Витальевич - заведующий кафедрой "Информационная безопасность" Северо-Кавказского филиала МТУСИ; доцент кафедры "Автоматика и телемеханика на железнодорожном транспорте" РГУПС.</p><p>Москва; Ростов-на-Дону</p></bio><bio xml:lang="en"><p>Daniil V. Marshakov - Head of the Department of Information Security of North Caucasus branch of the Moscow Technical University of Communications and Informatics; Associate Professor of the Department of Automation and telemechanics in railway transport of Rostov State Transport University.</p><p>Moscow; Rostov-on-Don</p></bio><email xlink:type="simple">daniil_marshakov@mail.ru</email><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Чуб</surname><given-names>Е. Г.</given-names></name><name name-style="western" xml:lang="en"><surname>Chub</surname><given-names>E. G.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Чуб Елена Григорьевна.</p><p>Ростов-на-Дону</p></bio><bio xml:lang="en"><p>Elena G. Chub.</p><p>Rostov-on-Don</p></bio><email xlink:type="simple">elenachub111@gmail.com</email><xref ref-type="aff" rid="aff-3"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Московский технический университет связи и информатики</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Moscow Technical University of Communications and Informatics</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Московский технический университет связи и информатики; Ростовский государственный университет путей сообщения</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Moscow Technical University of Communications and Informatics; Rostov State Transport University</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-3"><aff xml:lang="ru"><institution>Ростовский государственный экономический университет</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Rostov State University of Economics</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2024</year></pub-date><pub-date pub-type="epub"><day>10</day><month>06</month><year>2024</year></pub-date><volume>0</volume><issue>4</issue><fpage>4</fpage><lpage>15</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Соколов С.В., Маршаков Д.В., Чуб Е.Г., 2024</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="ru">Соколов С.В., Маршаков Д.В., Чуб Е.Г.</copyright-holder><copyright-holder xml:lang="en">Sokolov S.V., Marshakov D.V., Chub E.G.</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.izmt.ru/jour/article/view/2117">https://www.izmt.ru/jour/article/view/2117</self-uri><abstract><p>Рассмотрено обеспечение решения задачи автономной навигации подвижных объектов в течение длительного времени. Основная проблема при использовании инерциальных навигационных систем обусловлена накоплением ошибок позиционирования и угловой ориентации. Показано, что данную проблему можно решить путём комплексирования методов нелинейной фильтрации при обработке результатов инерциальных измерений бесплатформенными инерциальными навигационными системами и методов сокращения размерности вектора навигационных параметров на траекторных участках (интервалах), описываемых аналитическими моделями. В качестве таких траекторных участков рассмотрены ортодромические (кратчайшие) и кольцевые интервалы, наиболее характерные для программных траекторий транспортных объектов – автомагистралей, железных дорог, авиалиний и др. Для кольцевых интервалов впервые получены аналитические зависимости пространственных координат бесплатформенных инерциальных навигационных систем. Данные зависимости позволяют сократить размерность вектора навигационных параметров и, как следствие, для построения модели автономного наблюдателя навигационных параметров использовать уравнения, исключённые из общей системы этих параметров. Показано, что с использованием методов стохастической нелинейной фильтрации можно решить задачу помехоустойчивой автономной навигации на траекторных интервалах, описываемых аналитическими моделями. Предложенный подход к решению задачи автономной навигации подвижных объектов позволяет значительно сократить вычислительные затраты при практической реализации алгоритмов нелинейной фильтрации текущих навигационных параметров по сравнению с традиционными моделями бесплатформенных инерциальных навигационных систем. Эффективность предложенного подхода проиллюстрирована численным примером. Полученные результаты полезны при разработке навигационного обеспечения различных транспортных объектов, движущихся по программным траекториям, например, летательных аппаратов разного назначения, железнодорожного, автомобильного, речного транспорта и др.</p></abstract><trans-abstract xml:lang="en"><p>Provision of solution of the problem of autonomous navigation on a long time interval is considered. The main problem when using inertial navigation systems is caused by the accumulation of positioning and angular orientation errors. It is shown that this problem can be solved by combining methods of nonlinear filtering in processing the results of inertial measurements of platform-free inertial navigation systems and methods of reducing the dimensionality of the vector of navigation parameters on trajectory sections described by analytical models. Orthodromic (shortest) and circular intervals, most typical for program trajectories of transport objects – highways, railroads, airlines, etc., are considered as such trajectory sections. For circular intervals, analytical dependencies of the spatial coordinates of strapdown inertial navigation systems were obtained for the first time. These dependencies make it possible to reduce the dimension of the vector of navigation parameters and, as a consequence, to build a model of an autonomous observer of navigation parameters to use equations excluded from the general system of these parameters. It is shown that using stochastic nonlinear filtering methods it is possible to solve the problem of noise-resistant autonomous navigation on trajectory intervals described by analytical models. The proposed approach to solving the problem of autonomous navigation of moving objects makes it possible to significantly reduce computational costs in the practical implementation of algorithms for nonlinear filtering of current navigation parameters in comparison with traditional models of strapdown inertial navigation systems. The effectiveness of the proposed approach is illustrated with a numerical example. The results obtained are useful in developing navigation support for various transport objects moving along program trajectories, for example, aircraft for various purposes, railway, road, river transport, etc.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>задача автономной навигации</kwd><kwd>траекторные интервалы</kwd><kwd>аналитические модели</kwd><kwd>ортодромическая траектория</kwd><kwd>кольцевая траектория</kwd><kwd>инерциальные измерения</kwd><kwd>нелинейная фильтрация</kwd></kwd-group><kwd-group xml:lang="en"><kwd>autonomous navigation problem</kwd><kwd>trajectory intervals</kwd><kwd>analytical models</kwd><kwd>orthodromic trajectory</kwd><kwd>circular trajectory</kwd><kwd>inertial measurements</kwd><kwd>nonlinear filtering</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Работа выполнена в соответствии с Госзаданием № 1023080200012-3-2.3.4.</funding-statement><funding-statement xml:lang="en">This work was carried out in accordance with State Assignment no. 1023080200012-3-2.3.4.</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Емельянцев Г. И., Степанов А. П. Интегрированные инерциально-спутниковые системы ориентации и навигации. Центральный научно-исследовательский институт «Электроприбор», Санкт-Петербург (2016). https://elibrary.ru/xssbef</mixed-citation><mixed-citation xml:lang="en">Emel’jancev G. I., Stepanov A. P. Integrirovannye inercial’no-sputnikovye sistemy orientacii i navigacii [Integrated inertial-satellite attitude control and navigation systems]. Central’nyj nauchno-issledovatel’skij institut “Jelektropribor” Publ., St. Petersburg (2016). (In Russ.)</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Salychev O. S. Verified approaches to inertial navigation. BMSTU press, Moscow (2017).</mixed-citation><mixed-citation xml:lang="en">Salychev O. S. Verified approaches to inertial navigation. BMSTU press, Moscow (2017).</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Розенберг И. Н., Соколов С. В., Уманский В. И., Погорелов В. А. Теоретические основы тесной интеграции инерциально-спутниковых навигационных систем. Физматлит, Москва (2018). https://elibrary.ru/pyzllq</mixed-citation><mixed-citation xml:lang="en">Rozenberg I. N., Sokolov S. V., Umanskij V. I., Pogorelov V. A. Teoreticheskie osnovy tesnoj integracii inercial’no-sputnikovyh navigacionnyh system [Theoretical bases of close integration of inertial-satellite navigation systems]. Fizmatlit Publ., Moscow (2018). (In Russ.)</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Матвеев В. В., Распопов В. Я. Приборы и системы ориентации, стабилизации и навигации на микромеханических датчиках. Сборник материалов ХXIV Санкт-Петербургской международной конференции по интегрированным навигационным системам, Санкт-Петербург, 29–31 мая 2017, Центральный научно-исследовательский институт «Электроприбор», Санкт-Петербург, с. 264–266 (2017). https://elibrary.ru/zinkdp</mixed-citation><mixed-citation xml:lang="en">Matveev V. V., Raspopov V. Ya. Pribory i sistemy orientacii, stabilizacii i navigacii na mikromehanicheskih datchikah, Proceedings of the XXIV St. Petersburg International Conference on Integrated Navigation Systems, St. Petersburg, May 29–31, 2017. Central’nyj nauchno-issledovatel’skij institut “Jelektropribor” Publ., St. Petersburg, pp. 264–266 (2017). (In Russ.)</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Соколов С. В., Погорелов В. А. Стохастическая оценка, управление и идентификация в высокоточных навигационных системах. Физико-математическая литература, Москва (2016). https://elibrary.ru/rtgmoe</mixed-citation><mixed-citation xml:lang="en">Sokolov S. V., Pogorelov V. A. Stohasticheskaja ocenka, upravlenie i identifikacija v vysokotochnyh navigacionnyh sistemah [Stochastic estimation, control and identification in high-precision navigation systems]. Fiziko-matematicheskaja literatura Publ., Moscow (2016). (In Russ.)</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Mahony R., Hamel T., Pflimlin J.-M. Complementary filter design on the special orthogonal group SO(3). Proceedings of the 44th IEEE Conference on Decision and Control, Seville, Spain, 12–15 December 2005, pp. 1477–1484. https://doi.org/10.1109/CDC.2005.1582367</mixed-citation><mixed-citation xml:lang="en">Mahony R., Hamel T., Pflimlin J.-M. Complementary filter design on the special orthogonal group SO(3). Proceedings of the 44th IEEE Conference on Decision and Control, Seville, Spain, 12–15 December 2005, pp. 1477–1484. https://doi.org/10.1109/CDC.2005.1582367</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Baldwin G., Mahony R., Trumpf J., Hamel T. Complementary filter design on the Special Euclidean group SE(3). 2007 European Control Conference (ECC), Kos, Greece, 02–05 July 2007, pp. 3763–3770. https://doi.org/10.23919/ECC.2007.7068746</mixed-citation><mixed-citation xml:lang="en">Baldwin G., Mahony R., Trumpf J., Hamel T. Complementary filter design on the Special Euclidean group SE(3). 2007 European Control Conference (ECC), Kos, Greece, 02–05 July 2007, pp. 3763–3770. https://doi.org/10.23919/ECC.2007.7068746</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Crassidis J., Markley F., Cheng Y. Survey of nonlinear attitude estimation methods. Journal of Guidance, Control and Dynamics, 30(1), 12–28 (2007). https://doi.org/10.2514/1.22452</mixed-citation><mixed-citation xml:lang="en">Crassidis J., Markley F., Cheng Y. Survey of nonlinear attitude estimation methods. Journal of Guidance, Control and Dynamics, 30(1), 12–28 (2007). https://doi.org/10.2514/1.22452</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Mahony R., Hamel T., Pflimlin J.-M. Nonlinear complementary filters on the special orthogonal group. IEEE Transactions on Automatic Control, 53(5), 1203–1218 (2008). https://doi.org/10.1109/TAC.2008.923738</mixed-citation><mixed-citation xml:lang="en">Mahony R., Hamel T., Pflimlin J.-M. Nonlinear complementary filters on the special orthogonal group. IEEE Transactions on Automatic Control, 53(5), 1203–1218 (2008). https://doi.org/10.1109/TAC.2008.923738</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Euston M., Coote P., Mahony R., Kim J., Hamel T. A complementary filter for attitude estimation of a fixed-wing UAV. 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, Nice, France, 22–26 September 2008, pp. 340–345. https://doi.org/10.1109/IROS.2008.4650766</mixed-citation><mixed-citation xml:lang="en">Euston M., Coote P., Mahony R., Kim J., Hamel T. A complementary filter for attitude estimation of a fixed-wing UAV. 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, Nice, France, 22–26 September 2008, pp. 340–345. https://doi.org/10.1109/IROS.2008.4650766</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Markley F. L., Crassidis J., Cheng Y. Nonlinear attitude filtering methods. AIAA Guidance, Navigation, and Control Conference and Exhibit, San Francisco, California (2005). https://doi.org/10.2514/6.2005-5927</mixed-citation><mixed-citation xml:lang="en">Markley F. L., Crassidis J., Cheng Y. Nonlinear attitude filtering methods. AIAA Guidance, Navigation, and Control Conference and Exhibit, San Francisco, California (2005). https://doi.org/10.2514/6.2005-5927</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">Герасимов Ф. П., Золотухин Ю. Н., Котов К. Ю., Мальцев А. С., Ян А. П. Система управления движением квадрокоптера на основе каскадных фильтров Калмана. Автометрия, 2022, (4), 28–38. https://elibrary.ru/edoiah</mixed-citation><mixed-citation xml:lang="en">Gerasimov F. P., Zolotukhin Y. N., Kotov K. Y. et al. Motion control system for quadcopter based on cascade Kalman filters. Optoelectronics, Instrumentation and Data Processing, 58(4), 339–348 (2022). https://doi.org/10.3103/S8756699022040069</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Valenti R. G., Dryanovski I., Xiao J. Keeping a Good Attitude: A quaternion-based orientation filter for IMUs and MARGs. Sensors, 15, 19302–19330 (2015). https://doi.org/10.3390/s150819302</mixed-citation><mixed-citation xml:lang="en">Valenti R. G., Dryanovski I., Xiao J. Keeping a Good Attitude: A quaternion-based orientation filter for IMUs and MARGs. Sensors, 15, 19302–19330 (2015). https://doi.org/10.3390/s150819302</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Pullido Herrera E., Kaufmann H. Adaptive methods of Kalman filtering for personal positioning systems. Proceedings of the 23rd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2010), Portland, Oregon, 21–24 September 2010, pp. 584–589.</mixed-citation><mixed-citation xml:lang="en">Pullido Herrera E., Kaufmann H. Adaptive methods of Kalman filtering for personal positioning systems. Proceedings of the 23rd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2010), Portland, Oregon, 21–24 September 2010, pp. 584–589.</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Hu C., Chen W., Chen Y., Liu D. Adaptive Kalman filtering for vehicle navigation. Journal of Global Positioning Systems, 2(1), 42–47 (2003). https://doi.org/10.5081/jgps.2.1.42</mixed-citation><mixed-citation xml:lang="en">Hu C., Chen W., Chen Y., Liu D. Adaptive Kalman filtering for vehicle navigation. Journal of Global Positioning Systems, 2(1), 42–47 (2003). https://doi.org/10.5081/jgps.2.1.42</mixed-citation></citation-alternatives></ref><ref id="cit16"><label>16</label><citation-alternatives><mixed-citation xml:lang="ru">Sayed A. H. A framework for state-space estimation with uncertain models. IEEE Transactions on Automatic Control, 46(7), 998–1013 (2001). https://doi.org/10.1109/9.935054</mixed-citation><mixed-citation xml:lang="en">Sayed A. H. A framework for state-space estimation with uncertain models. IEEE Transactions on Automatic Control, 46(7), 998–1013 (2001). https://doi.org/10.1109/9.935054</mixed-citation></citation-alternatives></ref><ref id="cit17"><label>17</label><citation-alternatives><mixed-citation xml:lang="ru">Ишлинский А. Ю. Ориентация, гироскопы и инерциальная навигация. Наука, Москва (1976).</mixed-citation><mixed-citation xml:lang="en">Ishlinskij A. Ju. Orientacija, giroskopy i inercial’naja navigacija [Orientation, gyroscopes and inertial navigation]. Nauka Publ., Moscow (1976). (In Russ.)</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
