• DocumentCode
    189756
  • Title

    Background calibrated MEMS gyroscope

  • Author

    Eminoglu, Burak ; Kline, Mitchell H. ; Izyumin, Igor ; Yu-Ching Yeh ; Boser, Bernhard E.

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., UC Berkeley, Berkeley, CA, USA
  • fYear
    2014
  • fDate
    2-5 Nov. 2014
  • Firstpage
    922
  • Lastpage
    925
  • Abstract
    Background calibration is used to reduce three dominant error sources in MEMS gyroscopes over manufacturing variations, temperature, and aging. (1) Measuring the ratio of the change in the oscillation frequency to a calibration signal in the drive channel cancels scale factor errors and drift. (2) Tracking of the velocity-force phase relationship suppresses leakage of the quadrature error into the rate output. (3) Continuous monitoring of the drive signal is employed to reduce errors that are in-phase with the Coriolis signal including anisotropic damping and electrical feedthrough. In combination, the three error cancellation techniques reduce the Allan Variance of an experimental device from 6.6deg/hr to 1deg/hr at 400s averaging time and from 5.7deg/hr to 2deg/hr at 3200s. The temperature sensitivity of the bias decreases from 32mdeg/s/C to 8mdeg/s/C. Scale factor variations over 12 days are reduced from 547ppm p-p to 23ppm p-p, and temperature coefficient of the scale factor is reduced from 560ppm/C to 4ppm/C at room temperature.
  • Keywords
    calibration; damping; force measurement; frequency measurement; gyroscopes; microsensors; phase measurement; velocity measurement; Allan variance; Coriolis signal; anisotropic damping; background calibrated MEMS gyroscope; electrical feedthrough; leakage suppression; oscillation frequency measurement; quadrature error; scale factor error; temperature 293 K to 298 K; three dominant error source reduction; three error cancellation technique; time 3200 s; time 400 s; velocity-force phase tracking; Calibration; Damping; Equations; Force; Frequency modulation; Gyroscopes; Oscillators; anisotropic damping; background calibration; bias stability; force feedback; mems gyroscope; quadrature error; scale factor accuracy; self-calibration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SENSORS, 2014 IEEE
  • Conference_Location
    Valencia
  • Type

    conf

  • DOI
    10.1109/ICSENS.2014.6985152
  • Filename
    6985152