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Fuzzy Logic Traction Controllers And Their Effect On Longitudinal Vehicle Platoon Systems

Author

Listed:
  • Bauer, M.
  • Tomizuka, M.

Abstract

This paper presents fuzzy logic traction controllers and their effect on longitudinal vehicle platoon systems. A fuzzy logic approach is appealing for traction control because of the non-linearities and time-varying uncertainties in traction control systems. One fuzzy controller estimates the "peak slip" corresponding to the maximum tire-road adhesion coefficient and regulates wheel slip at that value. The other fuzzy logic controller regulates wheel slip at any desired value. The controllers' performance and robustness against changing road conditions and time- varying uncertainty is evaluated by simulation. The effect of traction control on longitudinal vehicle platoon systems is studied by simulation also.

Suggested Citation

  • Bauer, M. & Tomizuka, M., 1995. "Fuzzy Logic Traction Controllers And Their Effect On Longitudinal Vehicle Platoon Systems," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt5sq9q3k8, Institute of Transportation Studies, UC Berkeley.
    • Handle: RePEc:cdl:itsrrp:qt5sq9q3k8
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    References listed on IDEAS

    as
    1. Kachroo, Pushkin & Tomizuka, Masayoshi, 1994. "Vehicle Traction Control And its Applications," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6293p1rh, Institute of Transportation Studies, UC Berkeley.
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    1. Lee, Hyeongcheol & Tomizuka, Masayoshi, 1995. "Adaptive Vehicle Traction Control," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt8g5701zj, Institute of Transportation Studies, UC Berkeley.

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