• DocumentCode
    3482226
  • Title

    On-board and/or ground-based gyroless accelerometer calibration 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
    179
  • Lastpage
    184
  • 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. This feasibility study shows 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. In this paper, three filters/observers are evaluated and compared for this purpose: the Extended Kalman Filter, the H-infinity filter, and the Sliding Mode Observer. All methods are shown to accurately determine lumped bias, so long as the s/c inertia tensor is well known. Analytical simulations show that these methods are able to correct accelerometer readings to within 1 micro-g of true acceleration.
  • Keywords
    H∞ filters; Kalman filters; accelerometers; atmospheric measuring apparatus; calibration; military aircraft; observers; tensors; variable structure systems; H-infinity filter; NASA MMS mission; NASA magnetospheric multiscale mission; accelerometer position; extended Kalman filter; ground-based gyroless accelerometer calibration; inertia tensor; on-board gyroless accelerometer calibration; orthogonal misalignment; sensor bias; sliding mode observer; spacecraft model; Acceleration; Accelerometers; Calibration; Mathematical model; Quaternions; Space vehicles; Vectors;
  • 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.2012.6315407
  • Filename
    6315407