• DocumentCode
    3397446
  • Title

    The robust self-regulating control of the vehicle steering system

  • Author

    Li Guo ; Peng Sha ; Tang Shihui

  • Author_Institution
    Autom. Sch., Univ. of Sci. & Technol. in Beijing, Beijing, China
  • fYear
    2011
  • fDate
    19-22 Aug. 2011
  • Firstpage
    2046
  • Lastpage
    2049
  • Abstract
    For the uncertainties of the vehicle steering system, a method of equal control is used. The equal control input is calculated based on the certain part of the steering system, and a RBF network is used to apply the switch control input by compensating the uncertainties. The simulated results show that the twitter using the method presented in the paper is smaller than the strategy using fixed control gain. And it does not need to know the upper bound of the uncertainties. The simulation indicates that, compared with the strategy of direct sliding mode control, the method proposed in the paper has high tracking performance. Therefore, the systemic robustness is stronger and it also enhances the utility of the sliding mode control.
  • Keywords
    adaptive control; neurocontrollers; radial basis function networks; road traffic; self-adjusting systems; steering systems; traffic control; uncertain systems; variable structure systems; RBF network; equal control method; robust self-regulating control; sliding mode control; switch control; systemic robustness; vehicle steering system; Educational institutions; Interference; Robustness; Sliding mode control; Vehicles; Wheels; Neural network sliding mode control; Robust control; Vehicle steering control; adaptive control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronic Science, Electric Engineering and Computer (MEC), 2011 International Conference on
  • Conference_Location
    Jilin
  • Print_ISBN
    978-1-61284-719-1
  • Type

    conf

  • DOI
    10.1109/MEC.2011.6025893
  • Filename
    6025893