• DocumentCode
    3120860
  • Title

    Effectiveness of model-based motion estimation from an inertial measurement unit

  • Author

    Finch, M.C. ; Lintern, T.O. ; Taberner, A.J. ; Nielsen, P.M.F.

  • Author_Institution
    Univ. of Auckland, Auckland, New Zealand
  • fYear
    2011
  • fDate
    Nov. 28 2011-Dec. 1 2011
  • Firstpage
    607
  • Lastpage
    611
  • Abstract
    This article examines the effectiveness of using a mathematical model to improve motion estimates from an inertial measurement unit (IMU). Our custom built IMU (termed WIMOTIONZ) is capable of measuring acceleration, angular rate, and the magnetic field vector in three axes. A magnetometer calibration technique that removes external magnetic disturbances is discussed, and the objective function used in the optimisation routine is presented. The addition of a model is shown to decrease the RMS error, with respect to a “gold-standard” encoder, by 67% compared with only using a magnetometer. Combining the IMU and model is shown to predict the position of the sensor to within 1% of its physically measured value.
  • Keywords
    acceleration measurement; angular velocity measurement; calibration; inertial systems; magnetic field measurement; magnetometers; motion measurement; RMS error; WIMOTIONZ IMU; acceleration measurement; angular rate measurement; encoder; external magnetic disturbance removal; inertial measurement unit; magnetic field vector measurement; magnetometer calibration technique; mathematical model; model-based motion estimation; objective function; optimisation routine; Acceleration; Data models; Equations; Magnetometers; Mathematical model; Predictive models; Saturation magnetization; Inertial Measurement Unit (IMU); Mathematical model; Optimization; Pendulum;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensing Technology (ICST), 2011 Fifth International Conference on
  • Conference_Location
    Palmerston North
  • ISSN
    2156-8065
  • Print_ISBN
    978-1-4577-0168-9
  • Type

    conf

  • DOI
    10.1109/ICSensT.2011.6137053
  • Filename
    6137053