Please use this identifier to cite or link to this item: http://rportal.lib.ntnu.edu.tw:80/handle/77345300/31939
Title: Dynamic slip ratio estimation and control of antilock braking systems using an observer-based direct adaptive fuzzy-neural controller
Authors: 國立臺灣師範大學電機工程學系
W.-Y. Wang
I-H. Li
M.-C. Chen
S.-F. Su
S.-B. Hsu
Issue Date: 1-May-2009
Publisher: IEEE Industrial Electronics Society
Abstract: This paper proposes an antilock braking system (ABS), in which unknown road characteristics are resolved by a road estimator. This estimator is based on the LuGre friction model with a road condition parameter and can transmit a reference slip ratio to a slip-ratio controller through a mapping function. The slip-ratio controller is used to maintain the slip ratio of the wheel at the reference values for various road surfaces. In the controller design, an observer-based direct adaptive fuzzy–neural controller (DAFC) for an ABS is developed to online-tune the weighting factors of the controller under the assumption that only the wheel slip ratio is available. Finally, this paper gives simulation results of an ABS with the road estimator and the DAFC, which are shown to provide good effectiveness under varying road conditions
URI: http://rportal.lib.ntnu.edu.tw/handle/77345300/31939
ISSN: 0278-0046
Other Identifiers: ntnulib_tp_E0604_01_017
Appears in Collections:教師著作

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