Dynamic slip-ratio estimation and control of antilock braking systems using an observer-based direct adaptive fuzzy-neural controller

Wei Yen Wang*, I. Hsum Li, Ming Chang Chen, Shun Feng Su, Shi Boun Hsu

*此作品的通信作者

研究成果: 雜誌貢獻期刊論文同行評審

70 引文 斯高帕斯(Scopus)

摘要

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.

原文英語
頁(從 - 到)1746-1756
頁數11
期刊IEEE Transactions on Industrial Electronics
56
發行號5
DOIs
出版狀態已發佈 - 2009

ASJC Scopus subject areas

  • 控制與系統工程
  • 電氣與電子工程

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