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Tytuł artykułu

A correction in feedback loop applied to two-axis gimbal stabilization

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
A two-axis gimbal system can be used for stabilizing platform equipped with observation system like cameras or different measurement units. The most important advantageous of using a gimbal stabilization is a possibility to provide not disturbed information or data from a measurement unit. This disturbance can proceed from external working conditions. The described stabilization algorithm of a gimbal system bases on a regulator with a feedback loop. Steering parameters are calculated from quaternion transformation angular velocities received from gyroscopes. This data are fed into the input of Proportional Integral Derivative (PID) controller. Their input signal is compared with earned value in the feedback loop. The paper presents the way of increasing the position’s accuracy by getting it in the feedback loop. The data fusion from a positioning sensor and a gyroscope results in much better accuracy of stabilization.
Rocznik
Strony
217–--219
Opis fizyczny
Bibliogr. 9, wykr., rys.
Twórcy
  • WB Electronics S.A., 129/133 Poznańska St., 05-850 Ożarow Mazowiecki, Poland
autor
  • WB Electronics S.A., 129/133 Poznańska St., 05-850 Ożarow Mazowiecki, Poland
autor
  • Institute of Radioelectronics, Faculty of Electronics, Military University of Technology, 2 S. Kaliskiego St., 00-908 Warsaw, Poland
Bibliografia
  • [1] E. Vermeulen, “Real-time video stabilization for moving platform”, 21st Bristol UAV Systems Conf. 1, CD-ROM (2007).
  • [2] A. Witczak, A. Kawalec, and W. Klembowski, “Manned and unmanned electronic air reconnaissance systems- their role and concepts of applying them”, WAT Bull. 62, 57 (2013), (in Polish).
  • [3] N. Ekekwe, R. Etienne-Cummings, and P. Kazanzides, “Incremental encoder based position and velocity measurements vlsi chip with serial peripheral interface”, Circuits and Systems 3558, CD-ROM (2007), DOI: 10.1109/ISCAS.2007.378451.
  • [4] K. Nakano, T. Takahashi, and S. Kawahito, “A CMOS rotary encoder using magnetic sensor array”, IEEE Sensors J. 5, 889 (2005), DOI: 10.1109/JSEN.2005.853597.
  • [5] Q. Zhang, Z. Tan, L. Guo, “Information engineering and computer science”, IEEE Trans. 1, CD-ROM (2009), DOI: 10.1109/ICIECS.2009.5365140.
  • [6] A. Haberli, M. Schneider, P. Malcovati, R. Castagnetti, F. Maloberti, and H. Baltes, “Two-dimensional magnetic microsensor with on-chip signal processing for contactless angle measurement”, IEEE J. Solid-State Circuits 31, 1902 (1996), DOI: 10.1109/4.545811.
  • [7] K. Srinivasan, and J. Gu, “Multiple sensor fusion in mobile robot localization”,CCECE Canadian Conf. 1207, CD-ROM (2007), DOI: 10.1109/CCECE.2007.308.
  • [8] M.E. Liggins, D.L. Hall, and J. Llinas, Handbook of Multisensor Data Fusion, CRC Press, New York, 2001.
  • [9] S. Haykin, Kalman Filtering and Neural Networks, Wiley, New York, 2001.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-b7b5f8e8-ea19-47c9-820f-18c34b7eb5f4
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