Robust Sliding Mode-Like Fuzzy Logic Control for Anti-Lock Braking Systems with Uncertainties and Disturbances

Wei Yen Wang, Kou Cheng Hsu, Tsu Tian Lee, Guan Ming Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

In this paper, we propose a robust sliding mode-like fuzzy logic controller for an anti-lock brake system (ABS) with self-tuning of the dead-zone parameters. The main control strategy is to force the wheel slip ratio tracking the optimum value 0.2. The proposed controller for anti-lock braking systems provides a stable and reliable performance under the uncertainties in vehicle brake systems. Simulation results will show the validity and effectiveness of the proposed sliding mode-like fuzzy logic controller.

Original languageEnglish
Title of host publicationInternational Conference on Machine Learning and Cybernetics
Pages633-638
Number of pages6
Publication statusPublished - 2003 Dec 1
Event2003 International Conference on Machine Learning and Cybernetics - Xi'an, China
Duration: 2003 Nov 22003 Nov 5

Publication series

NameInternational Conference on Machine Learning and Cybernetics
Volume1

Other

Other2003 International Conference on Machine Learning and Cybernetics
CountryChina
CityXi'an
Period03/11/203/11/5

Keywords

  • Anti-lock brake systems
  • Dead-zone parameters
  • Self-tuning
  • Sliding mode-like fuzzy logic control
  • Wheel slip ratio

ASJC Scopus subject areas

  • Artificial Intelligence

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  • Cite this

    Wang, W. Y., Hsu, K. C., Lee, T. T., & Chen, G. M. (2003). Robust Sliding Mode-Like Fuzzy Logic Control for Anti-Lock Braking Systems with Uncertainties and Disturbances. In International Conference on Machine Learning and Cybernetics (pp. 633-638). (International Conference on Machine Learning and Cybernetics; Vol. 1).