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Study of array of MEMS inertial measurement units under quasi-stationary and dynamic conditions

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Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
A measurement system includes all components in a chain of hardware and software that leads from a measured variable to processed data. In that context, the type and quality of the sensors or measuring devices are critical to any measurement system. MEMS/IMU sensors lag behind leading technologies in this respect, but the MEMS/IMU performance rapidly changes while is relatively inexpensive. For this reason, the paper proposes some investigations of currently available MEMS/IMUs, but in an array configuration. The article presents the results of research undertaken on this type of IMU sensor configuration under quasi-stationary and dynamic conditions and answers the question of whether the precision of current MEMS technologies for acceleration and angular velocity sensors is still improved using this kind of approach.
Słowa kluczowe
Rocznik
Tom
Strony
150--155
Opis fizyczny
Bibliogr. 18 poz., rys., tab.
Twórcy
  • Gdańsk University of Technology Narutowicza 11/12 80-233 Gdańsk Poland
  • Gdańsk University of Technology Narutowicza 11/12 80-233 Gdańsk Poland
Bibliografia
  • 1. Lefèvre H. C., The fiber-optic gyroscope: Achievement and perspective, Gyroscopy and Navigation volume 3, pages 223–226(2012).
  • 2. Peshekhonov, V.G., Gyroscopic navigation systems. Current status and prospects, Gyroscopy and Navigation, 2011, vol. 3, no. 2, pp. 111–118.
  • 3. Woodman Oliver J., An introduction to inertial navigation August 2007.
  • 4. Selezneva S., Neusypin K. A., Proletarsky A. V., Navigation Complex with Adaptive Non-Lieanr Kalman Filter for Unmanned Flight Vehicle Metrol. Meas. Syst.,Vol. 26 (2019) No. 3, pp. 541–550DOI: 10.24425/mms.2019.129580.
  • 5. MA8451Q, MEMS 3-axis, 14-bit/8-bit digital accelerometer, Data Sheet, NXP Semiconductors, 2017.
  • 6. FXPS7250A4 high-performance, high-precision absolute pressure sensor consists of a compact capacitive microelectro-mechanical systems (MEMS), Data Sheet. NXP Semiconductors, 2019.
  • 7. Nilsson J.; Skog I., Inertial sensor arrays — A literature review 2016 European Navigation Conference (ENC).
  • 8. Skog I., Handel P.,Inertial Sensor Arrays, Maximum Likelihood, and Camer-Rao Bound, 2016, https://ieeexplore. ieee.org/document/74622722.
  • 9. Matin H., Groves P., A new approach to better low-cost MEMS IMU performance using sensor arrays, Institute of Navigation GNSS+ 2013, 16-20 September 2013, Nashville, TN, USA4.
  • 10. Patel U. N., Faruque I. A., “Sensor Fusion To Improve State Estimate Accuracy Using Multiple Inertial Measurement Unit”, IEEE Inertial 2021.
  • 11. Blocher L., Gerlach J., Bringmann O., Purely Inertial Navigation with a Low-Cost MEMS Sensor Array, IEEE Inertial 2021.
  • 12. Johnson B., Albrecht C., Development of a NavigationGrade MEMS IMU, IEEE Inertial 2021.
  • 13. Demkowicz J., Bikonis K., MEMS Technology Quality Requirements as Applied to Mulimeam Echosounder, Polish Maritime Research, 4(100)2018, Vol. 25.
  • 14. Pham L. DeSimone A. Vibration Rectification in MEMS Accelerometers Analog Devices, Inc. Technical Zone, 2020.
  • 15. IEEE-STD-952-1997, Appendix B.
  • 16. Demkowicz J., Autonomous Vehicle Navigation in Dense Urban Area in Global Positioning Context, 2018 11th International Conference on Human System Interaction (HSI), IEEE Xplore: 2018.
  • 17. LSM330DLC, iNEMO inertial module, 3-axis accelerometer and 3-axis gyroscope, Data Sheet, STMicroelectronics, 2016.
  • 18. Allan David W., Shoaf John H. and Halford Donald, Statistics of Time and Frequency Data Analysis, NBS Monograph 140, pages 151–204, 1974.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d3c26959-fe20-4889-bfd2-ad6b5359af52
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