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

研究成果: 書貢獻/報告類型會議貢獻

6 引文 斯高帕斯(Scopus)

摘要

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.

原文英語
主出版物標題International Conference on Machine Learning and Cybernetics
頁面633-638
頁數6
出版狀態已發佈 - 2003 十二月 1
事件2003 International Conference on Machine Learning and Cybernetics - Xi'an, 中国
持續時間: 2003 十一月 22003 十一月 5

出版系列

名字International Conference on Machine Learning and Cybernetics
1

其他

其他2003 International Conference on Machine Learning and Cybernetics
國家中国
城市Xi'an
期間03/11/203/11/5

ASJC Scopus subject areas

  • Artificial Intelligence

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  • 引用此

    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. 於 International Conference on Machine Learning and Cybernetics (頁 633-638). (International Conference on Machine Learning and Cybernetics; 卷 1).