• DocumentCode
    2300095
  • Title

    Fuzzy Closed-loop H-infinity Filter for SINS/OD Integration in Land Vehicles

  • Author

    Zhou Benchuan ; Cheng Xianghong

  • Author_Institution
    Southeast Univ., Nanjing, China
  • Volume
    2
  • fYear
    2010
  • fDate
    13-14 March 2010
  • Firstpage
    317
  • Lastpage
    320
  • Abstract
    In SINS/OD land vehicle system, H-infinity filter (HF) has better robustness than Kalman filter (KF) in the actual environmental uncertain interferences, but its low precision confines the application field. Closed-loop feedback system (CFS) and fuzzy inference system (FIS) are introduced into the traditional HF, a new fuzzy closed-loop H-infinity filtering algorithm is proposed in this paper. The fuzzy closed-loop H-infinity filter corrects system internal state through CFS, and it adjusts filtering gain matrix adaptively through FIS to further inhibit the uncertain interferences, thereby, improves the navigational precision and reliability. Finally, the vehicle experiment results illustrated that the filter proposed in this paper had higher precision and robustness than KF and HF.
  • Keywords
    H¿ control; Kalman filters; closed loop systems; filtering theory; fuzzy reasoning; inertial navigation; reliability; road traffic; Kalman filter; SINS/OD integration; SINS/OD land vehicle system; closed loop feedback system; filtering gain matrix; fuzzy closed loop H-infinity filtering algorithm; fuzzy inference system; odometer; reliability; strap down inertial navigation system; Adaptive filters; Feedback; Filtering algorithms; Fuzzy systems; H infinity control; Hafnium; Interference; Land vehicles; Robustness; Silicon compounds; Closed-loop Feedback System; Fuzzy Inference System; H-infinity Filter; Kalman Filter; Uncertain Interference;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
  • Conference_Location
    Changsha City
  • Print_ISBN
    978-1-4244-5001-5
  • Electronic_ISBN
    978-1-4244-5739-7
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2010.454
  • Filename
    5459855