• DocumentCode
    2893769
  • Title

    Modeling, Identification and Compensation of Sins Guidance Instrument Error

  • Author

    He, Jie ; Huang, Xian-lin

  • Author_Institution
    Center for Control Theor. & Guidance Technol., Harbin Inst. of Technol.
  • fYear
    2006
  • fDate
    13-16 Aug. 2006
  • Firstpage
    2479
  • Lastpage
    2484
  • Abstract
    Compared with inertial navigation system (INS) guidance instrument error compensation, a new approach is presented to compensate the strap down inertial navigation system (SINS) guidance instrument error. Firstly the error models are built based on the tracking data and telemetry data. Secondly the improved latent root estimation (LRE) is applied in order to overcome the multicolinearities of the error models and estimate the error parameters. Thus the error models are determined based on the estimated error parameters. Finally strap down inertial instrument errors are compensated based on the identified error models. Semi-physical simulation results show that the maximum height error decreases from 112m to 8m after the error compensation. It demonstrates the accuracy of the error models and the effectiveness of LRE. And it provides the foundation for the error compensation of SINS guidance instruments and improvement on SINS guidance precision
  • Keywords
    aircraft navigation; error compensation; estimation theory; inertial navigation; parameter estimation; telemetry; tracking; error parameter estimation; guidance instrument error compensation; guidance instrument error identification; guidance instrument error modeling; latent root estimation; strap down inertial navigation system; telemetry data; tracking data; Accelerometers; Computer errors; Cybernetics; Error compensation; Error correction; Helium; Inertial navigation; Instruments; Machine learning; Parameter estimation; Silicon compounds; Telemetry; SINS; guidance instrument error modeling; latent root estimation; telemetry data; tracking data;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2006 International Conference on
  • Conference_Location
    Dalian, China
  • Print_ISBN
    1-4244-0061-9
  • Type

    conf

  • DOI
    10.1109/ICMLC.2006.258783
  • Filename
    4028481