• DocumentCode
    526793
  • Title

    A Steering-By-Wire fault-tolerance control strategy based on multi-dimension Gauss Hidden Markov Model

  • Author

    He, Lei ; Zong, Changfu ; Wang, Chang

  • Author_Institution
    State Key Lab. of Automobile Dynamics Simulation(ASCL), Univ. of Jilin, Changchun, China
  • fYear
    2010
  • fDate
    13-15 Aug. 2010
  • Firstpage
    227
  • Lastpage
    230
  • Abstract
    Sensor fault-tolerance control technology plays a significant role in maintaining the reliability of a Steering-By-Wire system. Based on the multi-dimension Gauss Hidden Markov Model (HMM) algorithm, this paper presents a steering wheel angle sensor fault-tolerance control strategy in the Steering-By-Wire system using hardware redundancy technique. The impact of this strategy is examined through HIL (Hardware-in-Loop) experiments and test results demonstrate that the strategy proposed and employed here can effectively improve the performance of a Steering-By-Wire vehicle in terms of increasing its reliability and strengthening its security against sensor failures.
  • Keywords
    Gaussian processes; automotive components; hidden Markov models; steering systems; HIL; HMM; hardware-in-loop; multidimension Gauss hidden Markov model; sensor fault-tolerance control technology; steering wheel angle sensor; steering-by-wire fault-tolerance control strategy; Control systems; Fault tolerance; Fault tolerant systems; Hidden Markov models; Prediction algorithms; Vehicles; Wheels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Information Processing (ICICIP), 2010 International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-7047-1
  • Type

    conf

  • DOI
    10.1109/ICICIP.2010.5565251
  • Filename
    5565251