• DocumentCode
    682007
  • Title

    A deep-sea drilling rig MEMS gyroscope random drift error correction method

  • Author

    Hongqiang Huo ; Jingbiao Liu ; Wenyu Cai ; Yixuan Gao

  • Author_Institution
    Sch. of Electron. & Inf., HangZhou Dianzi Univ., Hangzhou, China
  • fYear
    2013
  • fDate
    23-27 Sept. 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The deep-sea drilling rigs usually work in a complex waters and magnetic field environment and their attitude detection systems generally use a gyroscope to determine the output of the yaw angle. Deepwater rigs in seawater attitude detection and analysis of the characteristics of the MEMS gyroscope random drift come to a result that reducing the MEMS gyroscope random drift error is an important method to improve the precision of gyroscope and and it establishes a MEMS gyroscope random drift error model for MEMS gyroscope initial measurement data pre-processing and gives the random drift fitting valuation and compensation method to improve the accuracy of the gyroscope within a certain time.With OpenGL 3D controlling corrected detection, we can clearly see the effectiveness of the method after calibration.
  • Keywords
    curve fitting; gyroscopes; micromechanical devices; oil drilling; MEMS gyroscope; OpenGL 3D; attitude detection systems; calibration; deep-sea drilling rig; deepwater rigs; magnetic field environment; nonlinear curve fitting; random drift error correction method; random drift fitting compensation method; random drift fitting valuation; seawater attitude detection; Accuracy; Attitude control; Autoregressive processes; Fitting; Gyroscopes; Instruments; Micromechanical devices; OpenGL; Yaw; angle; deep-sea; drilling; error; gyroscope; rig;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Oceans - San Diego, 2013
  • Conference_Location
    San Diego, CA
  • Type

    conf

  • Filename
    6741303