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Tytuł artykułu

Improving Strapdown Inertial Navigation System Performance by Self-Compensation of Inertial Sensor Errors

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Microelectromechanical systems (MEMS)-based strapdown navigation systems offer advantages such as small size, low cost and minimal power consumption. However, MEMS sensors are prone to significant low-frequency noise and poor bias repeatability, which can lead to navigational errors over time. These errors make them unsuitable for autonomous navigation applications, even with frequent recalibration. One way in which to solve this problem is by using the rotation modulation (RM) method. This approach is widely recognised but has only been successful with precise laser and fiber optic gyroscopes equipped with precise rotating platforms. This article focuses on the potential of adapting the RM method for the case of inexpensive MEMS sensors that can significantly improve navigation performance, while maintaining the benefits of microelectromechanical technologies. Potential issues of implementation were discussed, and corresponding requirements were formulated. The proposed optimal computation scheme was verified during static tests of the developed inertial measurement unit (IMU). Further steps in studying the adaptation of the RM method for MEMS sensors have also been outlined.
Rocznik
Strony
41--51
Opis fizyczny
Bibliogr. 10 poz., fot., rys., tab., wzory
Twórcy
  • Institute of Aerospace Technologies, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute,” Kyiv, Ukraine
  • Institute of Aerospace Technologies, National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute,” Kyiv, Ukraine
Bibliografia
  • [1] Savage, Paul. G. “Strapdown Inertial Navigation Integration Algorithm Design Part 2: Velocity and Position Algorithms.” Journal of Guidance, Control and Dynamics Vol. 21 (1998): pp. 208-221. DOI 10.2514/2.4242.
  • [2] Edward, S. Geller. “Inertial System Platform Rotation.” IEEE Transactions on Aerospace and Electronic Systems Vol. AES-4 No. 4 (1968): pp. 557-568. DOI 10.1109/TAES.1968.5409024.
  • [3] Giovanni, C. San, Jr., and Levinson, E. “Performance of a Ring Laser Strapdown Marine Gyrocompass.” NAVIGATION: Journal of The Institute of Navigation Vol. 28 No. 4 (1981) pp. 311-341.
  • [4] Levinson, Emanuel, and Majure, Robert. “Accuracy Enhancement Techniques Applied to the Marine Ring Laser Inertial Navigator (MARLIN).” NAVIGATION Vol. 34 No. 1 (1987): pp. 64-86. DOI 10.1002/j.2161-4296.1987.tb01490.x
  • [5] Feng, Sun, Wei, Sun, Wei, Gao, and Yueyang, Ben. “Research on the Technology of Rotational Motion for FOG Strapdown Inertial Navigation System.” 2009 International Conference on Mechatronics and Automation. Changchun, (2009): pp. 4913-4918. DOI 10.1109/ICMA.2009.5246048.
  • [6] Sun, Wei, Wang, Daxue, Xu, Longwei, and Xu, Lingling. “MEMS-Based Rotary Strapdown Inertial Navigation System.” Measurement Vol. 46 No. 8 (2013): pp. 2585-2596. DOI 10.1016/j.measurement.2013.04.035.
  • [7] Du, Shuang, Sun, Wei, and Gao, Yang. “MEMS IMU Error Mitigation Using Rotation Modulation Technique.” Sensors (Basel) Vol. 16 No. 12 (2016). DOI 10.3390/s16122017.
  • [8] Du, Shuang. “A Micro-Electro-Mechanical-System-Based Inertial System with Rotating Accelerometers and Gyroscopes for Land Vehicle Navigation.” International Journal of Distributed Sensor Networks Vol. 13 (2017): p. 155014771774635. DOI 10.1177/1550147717746351.
  • [9] Collin, Jussi. “MEMS IMU Carouseling for Ground Vehicles.” IEEE Transactions on Vehicular Technology Vol. 64 No. 6 (2014): pp. 2242-2251. DOI 10.1109/TVT.2014.2345847
  • [10] Kohler, Steward, M. “MEMS Inertial Sensors with Integral Rotation Means.” Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (2003). DOI 10.2172/917477
Uwagi
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-aca3889f-f88f-4df8-be46-4af7f23c7502
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