• DocumentCode
    2891024
  • Title

    Development of a nonlinear psi-angle model for large misalignment errors and its application in INS alignment and calibration

  • Author

    Kong, Xiaoying ; Nebot, Eduardo Mario ; Durrant-Whyte, Hugh

  • Author_Institution
    Dept. of Mech. & Mechatronic Eng., Sydney Univ., NSW, Australia
  • Volume
    2
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    1430
  • Abstract
    This work presents a general nonlinear psi-angle approach that does not require coarse alignment. In this psi-angle model, the three misalignment angles are assumed all large. Three states are used to describe three psi-angles rather than the four used in previous works. The approach is identical to the standard small error methods when the process errors diminish to small angles. The position and velocity error models are also presented. Standard extended Kalman filter techniques are used to solve the nonlinear data fusion problem. Experimental results of in-flight inertial navigation systems (INS) alignment and calibration are presented considering total uncertainty in azimuth orientation using a low cost inertial measurement unit aided with a differential global positioning system
  • Keywords
    Global Positioning System; Kalman filters; aerospace control; calibration; error analysis; inertial navigation; sensor fusion; GPS; Kalman filter; alignment; azimuth orientation; calibration; data fusion; differential global positioning system; inertial measurement unit; inertial navigation systems; misalignment errors; position error model; velocity error model; Accelerometers; Australia; Calibration; Costs; Earth; Global Positioning System; Inertial navigation; Mechatronics; Symmetric matrices; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 1999. Proceedings. 1999 IEEE International Conference on
  • Conference_Location
    Detroit, MI
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-5180-0
  • Type

    conf

  • DOI
    10.1109/ROBOT.1999.772561
  • Filename
    772561