• DocumentCode
    2484207
  • Title

    Neuro-adaptive control method for antilock braking systems

  • Author

    Zhang, Ran ; Weng, Liguo ; Cai, WenChuan ; Song, Y.D.

  • Author_Institution
    Center for Cooperative Syst., North Carolina A&T State Univ., Greensboro, NC
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    2859
  • Lastpage
    2863
  • Abstract
    The braking effectiveness of antilock braking system (ABS) could be degraded for rough road conditions (e.g., icy/snowy roads). In this work, a neuro-adaptive control design method is proposed for improving the performance of ABS. A neuro-adaptive unit is constructed to compensate external disturbances and uncertain dynamics due to road condition variation. This method does not involve analytical estimation of the upper bound on the reconstruction error and lumped uncertainties of the system, simplifying the design process and online computation. The performance of the developed control scheme is verified via simulation.
  • Keywords
    adaptive control; braking; neurocontrollers; uncertain systems; antilock braking systems; external disturbances; lumped uncertainties; neuroadaptive control design method; uncertain dynamics; Control design; Control systems; Degradation; Friction; Roads; Tires; Uncertainty; Upper bound; Vehicle dynamics; Wheels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4593379
  • Filename
    4593379