• DocumentCode
    136707
  • Title

    Network level fault diagnosis of steer-by-wire system based on ANFIS

  • Author

    Su Xiaoran ; Fang Li ; Chenglin Liao

  • Author_Institution
    Key Lab. of Power Electron. & Electr. Drives, Inst. of Electr. Eng., Beijing, China
  • fYear
    2014
  • fDate
    Aug. 31 2014-Sept. 3 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Network level fault diagnosis is essential to guarantee the safety of steer-by-wire system. To study network level fault diagnosis in steer-by-wire system, TrueTime toolbox in Matlab/Simulink is first used to construct a TDMA network, then Adaptive-Network-based Fuzzy Inference System (ANFIS) is embedded for diagnosing network level faults. Utilizing time-triggered network protocol signals, such as error frames accounts, the ANFIS algorithm can diagnose network level faults when the system is running and give the healthiness of the network. Simulation results show that the system based on ANFIS is efficient and can be further used in steer-by-wire system network diagnosis design.
  • Keywords
    fault diagnosis; fuzzy reasoning; mechanical engineering computing; steering systems; ANFIS algorithm; Matlab; Simulink; adaptive-network-based fuzzy inference system; network level fault diagnosis; steer-by-wire system; Fault diagnosis; Fuzzy logic; Inference algorithms; Mathematical model; Protocols; Vehicles; Wheels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), 2014 IEEE Conference and Expo
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-4240-4
  • Type

    conf

  • DOI
    10.1109/ITEC-AP.2014.6940978
  • Filename
    6940978