• DocumentCode
    3545025
  • Title

    Self-tuning fuzzy PID applied to direct yaw moment control for vehicle stability

  • Author

    Wei, Zhang ; Guizhen, Yu ; Jian, Wang ; Tianshu, Su ; Xiangyang, Xu

  • Author_Institution
    Sch. of Transp. Sci. & Eng., Beihang Univ., Beijing, China
  • fYear
    2009
  • fDate
    16-19 Aug. 2009
  • Abstract
    Although the conventional PID controller is widely used, there has been limited success in the yaw moment control of the vehicle with obvious nonlinearities. This paper presents a controller based on self-tuning fuzzy PID to improve vehicle handling and stability simultaneously. The controller contains a conventional PID controller and fuzzy controller which could tune the parameters of PID controller on-line. Results of both the off-line simulation and the HIL (hardware-in-the-loop) simulation have shown the effectiveness of the fuzzy PID method when the vehicle is in lane change maneuver.
  • Keywords
    adaptive control; control nonlinearities; electric vehicles; fuzzy control; road safety; road vehicles; self-adjusting systems; stability; three-term control; vehicle dynamics; DYC; HIL simulation; control nonlinearity; direct yaw moment control; hardware-in-the-loop simulation; lane change maneuver; off-line simulation; self-tuning fuzzy PID control; vehicle active safety; vehicle handling; vehicle stability; Control nonlinearities; Control systems; Fuzzy control; Mathematical model; Optimal control; Road vehicles; Stability; Three-term control; Vehicle safety; Wheels; Direct Yaw Moment Control; HIL (hardware-in-the-loop); Self-Tuning Fuzzy PID;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3863-1
  • Electronic_ISBN
    978-1-4244-3864-8
  • Type

    conf

  • DOI
    10.1109/ICEMI.2009.5274580
  • Filename
    5274580