Improvement of Low-Cost MEMS Gyroscope Characteristics by Data Filtering and Fusion
DOI:
https://doi.org/10.3849/aimt.01126Keywords:
MEMS gyroscope, filtering, data fusionAbstract
Advancement of the MEMS technology at the end of the 20th century allowed mankind to realize until then unthinkable things. Modern technological procedures have enabled a mass production of sensors and actuators of miniature dimensions with low purchase costs. The article deals with the fundamental principle of the MEMS gyroscopes as angular rate sensors and with the necessary output data filtering and fusion with other inertial sensors to improve quality and precision of the angular rate and position angles determination.
References
LAŠŠÁK, M. Controlling of multisensor system (in Slovak). [PhD Thesis]. Košice : Technical University of Košice, 2014. 125 p.
BARBOUR, N., SCHMIDT G. Inertial sensor technology trends. In IEEE Sensors J., Vol. 1, No. 4, 2001. p. 332–339. https://doi.org/10.1109/7361.983473.
YAZDI, Y., AYAZI, F., NAJAFI, K. Micromachined inertial sensors. In Proc. IEEE, Vol. 86, No. 8, 1998. p. 1640–1659. https://doi.org/10.1109/5.704269.
SOTÁK, M., SOPATA, M., BRÉDA, R, VÁCI, Ľ, ROHÁČ, J. Navigation System Integration. Košice : Róbert Bréda, 2006. 343 p.
VAISPACHER, T., ANDOGA, R., BRÉDA, R., ADAMČÍK, F. Application of linearized Kalman filter in integration of navigation systems. In CINTI 2015. Danvers : IEEE, 2015. p. 79-84. https://doi.org/10.1109/CINTI.2015.7382898
COLTON, S. The Balance Filter : A Simple Solution for Integrating Accelerometer and Gyroscope Measurements for a Balancing Platform [on line]. 2007 [cited 10-10-2015]. Available from: <http://d1.amobbs.com/bbs_upload782111/files_44/ourdev_665531S2JZG6.pdf>
EVANS, J. R. Running median filters and a general despiker. Bulletin of the Seismological Society of America, 1982. p. 331-338.
STONE, C. D. Application of median filtering to noisy data. In Canadian Journal of Chemistry, Vol. 75, No. 10, 1995. p. 1573-1581.
SMITH, S. W. The scientist and Engineer's Guide to Digital Signal Processing - Moving Average Filters. 1997. pp. 277-284. ISBN 0-9660176-3-3.
LAŠŠÁK, M., DRAGANOVÁ, K., PRASLIČKA, D. Application of moving window median filter for UAV control. In: MOSATT 2013 : Proceedings of the International Scientific Conference Modern Safety Technologies in Transportation, Vol. 5, 2013. Košice : Perpetis, 2013. p. 149-154. Available from: <http://www.mosatt.org/archiv/mosatt2013/zbornik/149.pdf>.
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