• DocumentCode
    550790
  • Title

    Thruster failure detection of UUV based on self-adaptive fusion

  • Author

    Yan Zheping ; Zhao Zhi ; Chi Dongnan ; Chen Tao

  • Author_Institution
    Coll. of Autom., Harbin Eng. Univ., Harbin, China
  • fYear
    2011
  • fDate
    22-24 July 2011
  • Firstpage
    4253
  • Lastpage
    4258
  • Abstract
    An algorithm of thruster failure detection of UUV based on self-adaptive fuzzy fusion is proposed in this paper. The algorithm fuses the forecasting current into the theory current to obtain the fusion current. The forecasting current is obtained according to historical current using the gray forecasting. The theory current is obtained according to experiment data using the fitting method between controlling voltage and armature current. The fuzzy theory is used to realize a self-adaptive fusion between theory current and forecasting current. Based on the fusion current, thruster failures of UUV can be detected and classified in real time. Lake experiments show the validity of the method presented.
  • Keywords
    autonomous underwater vehicles; electric current control; failure (mechanical); forecasting theory; fuzzy set theory; mobile robots; voltage control; UUV; armature current control; fitting method; forecasting current; fuzzy theory; gray forecasting; real time classification; real time detection; self adaptive fuzzy fusion current; theory current; thruster failure detection; voltage control; Electronic mail; Forecasting; Fuses; Lakes; Real time systems; Underwater vehicles; Voltage control; Failure Detection; Fuzzy Theory; Gray Forecasting; Self-Adaptive Fusion; Unmanned Underwater Vehicle;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2011 30th Chinese
  • Conference_Location
    Yantai
  • ISSN
    1934-1768
  • Print_ISBN
    978-1-4577-0677-6
  • Electronic_ISBN
    1934-1768
  • Type

    conf

  • Filename
    6001130