• DocumentCode
    354206
  • Title

    A neuron controller with self-tuning gain for anti-lock braking systems

  • Author

    Ning, Wang ; Chongyang, Zhou

  • Author_Institution
    Res. Inst. of Ind. Control Technol., Zhejiang Univ., Hangzhou, China
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    1018
  • Abstract
    By analysing the dynamic model of a wheel under braking, and based on the neuron model and neuron control method given by Wang Ning et al. (1991), a new neuron model-free controller with self-tuning gain for the anti-lock braking system (ABS) is proposed in this paper. Simulation tests of the ABS using the neuron controller were made. It is shown that good performances of the anti-lock braking system were obtained under various conditions of road surfaces. This new control method is very simple and suitable for practical use
  • Keywords
    automobiles; braking; dynamics; neurocontrollers; self-adjusting systems; anti-lock braking systems; automobiles; dynamic model; model free control; neurocontroller; self-tuning gain; Control system synthesis; Control systems; Industrial control; Neurons; Process control; Roads; Testing; Wheels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
  • Conference_Location
    Hefei
  • Print_ISBN
    0-7803-5995-X
  • Type

    conf

  • DOI
    10.1109/WCICA.2000.863389
  • Filename
    863389