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Adaptive Vehicle Traction Control

Author

Listed:
  • Lee, Hyeongcheol
  • Tomizuka, Masayoshi

Abstract

This report presents two different control algorithms for adaptive vehicle traction control, which includes wheel slip control, optimal time control, anti-spin acceleration and anti-skid control, and longitudinal platoon control. The two control algorithms are respectively based on adaptive fuzzy logic control and sliding mode control with on-line road condition estimation. Simulations of the two control methods are conducted using a complex nonlinear vehicle model as well as a simple linear vehicle model.

Suggested Citation

  • 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.
    • Handle: RePEc:cdl:itsrrp:qt8g5701zj
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    File URL: https://www.escholarship.org/uc/item/8g5701zj.pdf;origin=repeccitec
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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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    Cited by:

    1. Yi, Jingang & Suryanarayanan, Shashikanth & Howell, Adam & Horowitz, Roberto & Tomizuka, Masayoshi & Hedrick, Karl & Alvarez, Luis, 2002. "Development and Implementation of a Vehicle-Centered Fault Diagnostic and Management System for the Extended PATH-AHS Architecture: Part I," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6nh6r02x, Institute of Transportation Studies, UC Berkeley.

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    1. 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.

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