gyroscopyГироскопия и навигацияGiroskopiya i Navigatsiya0869-70352075-0927AO «Концерн «ЦНИИ «Электроприбор»10.17285/0869-7035.2014.22.4.085-098gyroscopy-467Research ArticleСтатьиОпределение местоположения по данным гравитационного градиентометра с применением нейро-нечеткого моделированияРахматиС.

Рахмати Саид, аспирант. 

КианфарК.

Кианфар Кавех, старший научный сотрудник. 

КалатА. А.

Калат Али Акбарзаде, доцент. 

Университет г. Бирджанд, факультет электротехникиIslamic Republic of IranУниверситет имени имама Хусейна, Исследовательский центр Гадр (г. Тегеран)Islamic Republic of IranТехнологический университет, факультета электротехники (г. Шахруд)Islamic Republic of Iran2014030220262248598Copyright © Рахмати С., Кианфар К., Калат А., 20262026Рахмати С., Кианфар К., Калат А.Рахмати С., Кианфар К., Калат А.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.gyroscopy.ru/jour/article/view/467

В статье представлен новый метод определения местоположения по данным гравитационного градиентометра с помощью нейро-нечеткого моделирования, который также может использоваться для коррекции показаний инерциальной навигационной системы с применением фильтра Калмана. Поскольку изменения гравитационного градиента главным образом связаны с особенностями рельефа, данные о высоте используются для моделирования гравитационных градиентов. Чтобы продемонстрировать потенциальные возможности метода, исследуются два типа рельефа – изрезанный и гладкий, в обоих случаях метод обеспечивает высокую точность навигации. Также анализируется применимость метода при полете на разных высотах.

This paper proposes a novel method for position determination by using neuro-fuzzy modeling and gravity gradient instrument data, which also can serve as a navigation aid to inertial navigation system using a Kalman filter. Since great majority of changes in gravity gradients are due to terrain, terrain elevation data are just used to model the gravity gradients at test location. To demonstrate the potential performance of this method, two cases including rough and smooth terrain are investigated, and impressive navigation accuracy is produced. Also the suitability of the proposed method for the use in different altitudes is compared.

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The authors declare that there are no conflicts of interest present.