• DocumentCode
    233648
  • Title

    Research on comprehensive calibration techniques for single-axis rotational inertial navigation system

  • Author

    Cheng Jianhua ; Chen Daidai ; Landry, Rene ; Guan Dongxue ; Wang Xiuzhi

  • Author_Institution
    Coll. of Autom., Harbin Eng. Univ., Harbin, China
  • fYear
    2014
  • fDate
    28-30 July 2014
  • Firstpage
    550
  • Lastpage
    555
  • Abstract
    For long-time operation applications based on single-axis rotation inertial navigation system (SRINS), the estimation and compensation of gyroscope´s constant drift along the rotational axis in comprehensive calibration is the most important problem. In this paper, a novel comprehensive calibration method for SRINS is presented. During this process, SRINS is operating in the outer level damping mode. Kalman filter has been designed based on the SRINS model with the damping network. The velocity and position provided by differential GPS (DGPS) are introduced as reference information for the estimation of rotational axis gyroscope drift. For stationary scenario, the observability degree of system states are given by an observability analysis based on singular value decomposition. The validity of this method is confirmed by simulations. The influence of linear accelerated motion on the estimation of drift is obtained.
  • Keywords
    Kalman filters; calibration; damping; gyroscopes; inertial navigation; observability; singular value decomposition; state-space methods; Kalman filter; SRINS model; comprehensive calibration technique; differential GPS; gyroscope constant drift compensation; linear accelerated motion; observability analysis; rotational axis gyroscope drift estimation; single-axis rotational inertial navigation system; singular value decomposition; state space model; Calibration; Damping; Gyroscopes; Observability; Oscillators; Sensors; Silicon compounds; SINS; gyroscope drift; horizontal damping; rotation modulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2014 33rd Chinese
  • Conference_Location
    Nanjing
  • Type

    conf

  • DOI
    10.1109/ChiCC.2014.6896683
  • Filename
    6896683