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MEMS Modeling in the Context of Inertial Navigation

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Języki publikacji
EN
Abstrakty
EN
Underwater navigation is a research topic current undertaken in many areas of underwater research. The article presents an analysis resulting from MEMS modelling in the context of inertial navigation. The ideal approach was confronted with its limitations, but a non-linear approach, close to the real one, was also presented. Both models were compared in the context of inertial navigation. Random disturbances and their impact on linear and nonlinear dynamic systems, and in this context on Brownian noise motion, were also analysed. The linear velocity and displacement estimates generated by the presented models were compared to the ideal responses. The phenomenon of bifurcation in the context of inertial measurements is presented. Some of the analysis is performed on real data, but for greater clarity, some is performed on simulated data to highlight design issues and limitations.
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  • Gdańsk University of Technology
Bibliografia
  • [1] Groves, P. D., , Principles of GNSS, Inertial, and Multisensor Integrated Navigation Systems, Artech House, London, 2013.
  • [2] Paull L., Saeedi S., Seto M., Li H., AUV Navigation and Localization: A Review, IEEE Journal of Oceanic Engineering, Vol. 39, No. 1, January 2014.
  • [3] 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.
  • [4] Kongsberg Seatex MRU-5 Manual, Copyright © Kongsberg Seatex AS 2008.
  • [5] Quick Start Guide to the 3DMGX3 Soft & Hard Iron Calibration, www.microstrain.com
  • [6] IEEE Recommended Practice for Inertial Sensor Test Equipment Instrumentation Data Acquisition and Analysis. Available online: https://ieeexplore.ieee.org/servlet/opac?punumber=10423 (accessed on 31 March 2011).
  • [7] Qiao Y., Shi Z., Xu Y., Wei X., Elhady A., Abdel-Rahman E., Huan R., Zhang W., Frequency unlocking-based MEMS bifurcation sensors. Nature, Microsystems & Nanoengineering volume 9(58), Article number: 58, 2023.
  • [8] Vamsi C. Meesala, Muhammad R. Hajj, Eihab Abdel-Rahman, Bifurcation-based MEMS mass sensors, International Journal of Mechanical Sciences Volume 180, 15 August 2020, 105705.
  • [9] Prikhodko, I. P., Bearss, B., Merritt, C., Bergeron, J., Blackmer, C. Towards self-navigating cars using MEMS IMU: Challenges and opportunities. In Proceedings of the 2018 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL 2018), Lake Como, Italy, 26-29 March 2018, pp. 1-4.
  • [10] Łoziński, P., Demkowicz, J., Proof of Concept of Indoor Location System Using Long RFID Readers and Passive Tags, Springer monography 2022, https://doi.org/10.1007/978-981-19-6004-8_51
  • [11] Demkowicz, J., Bikonis, K., Study of Array of MEMS Inertial Measurements Units Under Quasi-Stationary and Dynamic Conditions, Polish Maritime Research [ISSN: 1233-2585].
  • [12] Shultz Kenneth, S. Measurement Theory in Action, Taylor & Francis Ltd.: 2020.
  • [13] Kovacic, I., Brennan, M. J. The Duffing Equation: Nonlinear Oscillators and Their Behaviour. John Wiley & Sons, Hoboken. https://doi.org/10.1002/9780470977859
  • [14] Tahmineh Azizi, Gabriel Kerr, Application of Stability Theory in Study of Local Dynamics of Nonlinear Systems, Journal of Applied Mathematics and Physics, Vol.8 No.6, June 23, 2020.
  • [15] Woodman, O. J., An introduction to inertial navigation, August 2007, University of Cambridge.
  • [16] Yeong J., Velasco-Hernandez G., Barry J., Walsh J., Sensor and Sensor Fusion Technology in Autonomous Vehicles: A Review, Sensors 2021, 21(6), 2140, https://doi.org/10.3390/s2106214
  • [17] Brown, R. G., Hwang, P. Y. C. Introduction to Random Signals and Applied Kalman Filtering with MATLAB Exercises, 3rd., John Wiley & Sons Inc.: New York, NY, USA, 1997.
  • [18] Demkowicz, J. MEMS Gyro in the Context of Inertial Positioning. In Proceedings of the 2017 Baltic Geodetic Congress (BGC Geomatics), Gdansk, Poland, 22-25 June 2017, pp. 247-251.
  • [19] Quinchia A. G., Falco, G., Falletti E., Dovis F., Ferrer, C., A Comparison between Different Error Modeling of MEMS Applied to GPS/INS Integrated Systems, Sensors 2013, 13(8), 9549-9588, https://doi.org/10.3390/s130809549
  • [20] Poddar, S., Kumar, A. Scale-free PSO for in-run and infield inertial sensor calibration. Measurement 2019, 147, 106849.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).
Typ dokumentu
Bibliografia
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bwmeta1.element.baztech-403a14e2-2df0-4864-a496-e8804d305f0d
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