Self-learning fuzzy sliding-mode control for antilock braking systems

  title={Self-learning fuzzy sliding-mode control for antilock braking systems},
  author={Chih-Min Lin and Chun-Fei Hsu},
  journal={IEEE Trans. Contr. Sys. Techn.},
The antilock braking system (ABS) is designed to optimize braking effectiveness and maintain steerability; however, the ABS performance will be degraded in the case of severe road conditions. In this study, a self-learning fuzzy sliding-mode control (SLFSMC) design method is proposed for ABS. The SLFSMC ABS will modulate the brake torque for optimum braking. The SLFSMC system is comprised of a fuzzy controller and a robust controller. The fuzzy controller is designed to mimic an ideal… CONTINUE READING
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