• DocumentCode
    498387
  • Title

    Research and Simulation of a Fault Diagnosis and Tolerant Algorithm in Gravity Aided Inertial Navigation System

  • Author

    Xia, Bing ; Cai, Tijing ; Yang, Zhuopeng

  • Author_Institution
    Sch. of Instrum. Sci. & Eng., SEU, Nanjing, China
  • Volume
    2
  • fYear
    2009
  • fDate
    19-21 May 2009
  • Firstpage
    459
  • Lastpage
    464
  • Abstract
    Considering the structure and characteristics of gravity aided navigation system and federal filter, the paper presents a new algorithm of the fault detection isolation and system reset. The new fault-tolerant algorithm changes the traditional fault judgment to the filtering convergence judgment. Based on this algorithm a new fault diagnosis and tolerant method is established, and the method is verified by the simulation of gravity aided inertial integrated navigation system with the new fault toleration algorithm. Simulation results show that the new fault diagnosis and tolerant algorithm can efficiently restrain the fault of the gravity measurement unit, play the gravity aided navigation subsystem for best results and enhance the system accuracy and fault-tolerant performance.
  • Keywords
    fault diagnosis; fault tolerance; filtering theory; inertial navigation; fault detection isolation; fault diagnosis; fault tolerant algorithm; filtering convergence judgment; gravity aided inertial navigation system; Change detection algorithms; Convergence; Fault detection; Fault diagnosis; Fluctuations; Gravity; Inertial navigation; Information filtering; Information filters; Pollution; fault detection and isolation (FDI); federal filter; gravity aided navigation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-0-7695-3571-5
  • Type

    conf

  • DOI
    10.1109/GCIS.2009.373
  • Filename
    5209398