• DocumentCode
    3487036
  • Title

    On-board and/or ground-based gyroless accelerometer calibration with uncertain spacecraft inertia for NASA´s Magnetospheric MultiScale (MMS) Mission

  • Author

    Jenkins, Bob ; Thein, May-Win L.

  • Author_Institution
    Dept. of Mech. Eng., Massachusetts Inst. of Technol., Cambridge, MA, USA
  • fYear
    2012
  • fDate
    27-29 June 2012
  • Firstpage
    185
  • Lastpage
    190
  • Abstract
    Several methods are presented for the on-board and/or ground-based calibration of accelerometers for the spacecraft (s/c) of the NASA Magnetospheric MultiScale (MMS) Mission during mission operation. It is shown that a single lumped bias (represented by 3 parameters) is sufficient to represent all nine accelerometer calibration parameters for sensor bias, orthogonal misalignment and shift in accelerometer position with respect to the s/c center of mass. Dynamic filters/observers are shown to fail if not provided an accurate inertia tensor for estimation. A batch process filter calibration technique is applied to estimate s/c states and is robust against parametric (s/c inertia) uncertainties. Analytical simulations show that the batch method is able to correct accelerometer readings to within 1 micro-g of true acceleration. Preliminary experimental results show qualitative supporting trends for the batch calibration method.
  • Keywords
    accelerometers; atmospheric measuring apparatus; calibration; space vehicles; tensors; NASA MMS mission; NASA magnetospheric multiscale mission; batch process filter calibration technique; dynamic filter-observers; ground-based gyroless accelerometer calibration; inertia tensor; on-board gyroless accelerometer calibration; orthogonal misalignment; orthogonal shift; single lumped bias; uncertain spacecraft inertia; Acceleration; Accelerometers; Calibration; Mathematical model; Quaternions; Space vehicles; Tensile stress;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2012
  • Conference_Location
    Montreal, QC
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4577-1095-7
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2012.6315631
  • Filename
    6315631