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

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

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	International Conference on Machine Learning and Cybernetics
Pages	633-638
Number of pages	6
Publication status	Published - 2003
Externally published	Yes
Event	2003 International Conference on Machine Learning and Cybernetics - Xi'an, China Duration: 2003 Nov 2 → 2003 Nov 5

Publication series

Name	International Conference on Machine Learning and Cybernetics
Volume	1

Other

Other	2003 International Conference on Machine Learning and Cybernetics
Country/Territory	China
City	Xi'an
Period	2003/11/02 → 2003/11/05

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

Cite this

Robust Sliding Mode-Like Fuzzy Logic Control for Anti-Lock Braking Systems with Uncertainties and Disturbances. / Wang, Wei Yen; Hsu, Kou Cheng; Lee, Tsu Tian et al.
International Conference on Machine Learning and Cybernetics. 2003. p. 633-638 (International Conference on Machine Learning and Cybernetics; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Wang, WY, Hsu, KC, Lee, TT & Chen, GM 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. International Conference on Machine Learning and Cybernetics, vol. 1, pp. 633-638, 2003 International Conference on Machine Learning and Cybernetics, Xi'an, China, 2003/11/02.

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

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.",

keywords = "Anti-lock brake systems, Dead-zone parameters, Self-tuning, Sliding mode-like fuzzy logic control, Wheel slip ratio",

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AB - 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.

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KW - Self-tuning

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KW - Wheel slip ratio

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

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

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