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Analysis of micro-electromechanical inertial measurement units for unmanned aerial vehicle applications

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Typically, an inertial navigation system (INS) is used to determine the position, speed, and orientation of an object moving relative to the earth's surface. The navigation information (position, speed and orientation) of an unmanned aerial vehicle (UAV) is needed to control its flight. Since the resistance of INS to interferences is very high, it is possible to ensure reliable flights in conditions of high-intensity noise. This article explores the principles of constructing inertial measurement units (IMU) that are part of the INS and indicates perspective directions for their development. Micro-electromechanical inertial measurement units were studied in this work, and functional and principal electrical circuits for connecting units of inertial measurements to the microcontroller were developed. The results of practical measurements of units without calibration and after calibration were obtained using the created laboratory device. Based on the obtained results, the necessity of sensor calibration was revealed, and accuracy was improved by performing calibration with the Kalman filter algorithm. The Kalman filter is the heart of the navigation system. In a low-cost system, IMU errors like bias, scale factor error and random walk noise dominate the INS error growth.
Rocznik
Tom
Strony
129--138
Opis fizyczny
Bibliogr. 12 poz.
Twórcy
  • Department of Aerospace devices, Faculty of Physics and Technology, National Aviation Academy, Baku, Azerbaijan, Mardakan ava.30
Bibliografia
  • 1. Manon Kok, Jeroen D. Hol, Thomas B. Schon. 2017. ”Using Inertial Sensors for Position and Orientation Estimation”. Foundations and Trends in Signal Processing 11(1-2): 1-153. DOI: 10.1561/2000000094.
  • 2. Набиев Р.Н., А.З. Маммадов. 2021. “Модели построения инерциальной навигационной системы для беспилотных летательных аппаратов” Авиакосмическое приборостроение 1: 12-22. DOI: 10.25791/aviakosmos.1.2021.1197. [In Russian: Nabiyev R.N., A.Z. Mammadov. 2021. “Models of construction of inertial navigation system for unmanned aerial vehicle”. Aerospace Instrument-Making].
  • 3. Ishak Ertugrul, Ulkir Osman. 2020. “Analysis of MEMS-IMU Navigation System Used in Autonomous Vehicles”. In: Autonomous Vehicle and Smart Traffic. Edited by Sezgin Ersoy, Tayyab Waqar.London, UK: IntechOpen. DOI: 10.5772/intechopen.92985.
  • 4. Ahmad N., R.A.R. Ghazilla, N.M. Khairi, V. Kasi. 2013. “Reviews on various inertial measurement unit (IMU) sensor applications”. International Journal of Signal Processing Systems 1(2): 256-262.
  • 5. H. Chao, Cao Y., Chen Y. 2010. “Autopilots for small unmanned aerial vehicles: A survey”. The International Journal of Control, Automation and Systems 8(1): 36-44.
  • 6. Skog I., P. Handel. 2009. “In-car positioning and navigation technologies – A survey”. IEEE Transactions on Intelligent Transportation Systems 10(1): 4-21.
  • 7. Hardy J., et al. 2016. “Unmanned aerial vehicle relative navigation in GPS denied environments”. In: 2016 IEEE/eION Position, Location and Navigation Symposium (PLANS): 344-352. Savannah, GA. DOI: 10.1109/PLANS.2016.7479719.
  • 8. Perlmutter M., L. Robin. 2012. “High-performance, low cost inertial MEMS: A market in motion!” In: Proceedings of the IEEE/ION Position Location and Navigation Symposium (PLANS): 225-229. Myrtle Beach, South Carolina, USA.
  • 9. Choe N., H. Zhao, S. Qiu, Y. So. 2019. “A sensor-to-segment calibration method for motion capture system based on low cost MIMU”. Measurement 131: 490-500.
  • 10. Analog Devices. 2021. Available at:http://https://www.analog.com/en/parametricsearch/11172#/.
  • 11. Xsens Technologies. 2021. Available at: http://www.xsens.com.
  • 12. İnvensense. 2021. Available at: https://invensense.tdk.com/products/motion-tracking.
Uwagi
PL
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-34ff2062-e437-4bfc-bf4f-488375fd035e
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