Robust T-S fuzzy-neural control of uncertain active suspension systems

Ming Chang Chen, Wei-Yen Wang, Shun Feng Su, Yi Hsing Chien

研究成果: 雜誌貢獻文章

14 引文 斯高帕斯(Scopus)

摘要

This paper proposes a novel method for identification of a class of the uncertain active suspension systems by using on-line adaptive T-S fuzzy-neural controller. In reality, vehicles may encounter unpredictable road conditions, e.g., rocks and potholes influencing the dynamic behavior of active suspension systems. These road conditions are not only cause parts of the active suspension system to fail, but also turn them into uncertain systems. To solve this problem, this paper uses the mean value theorem to transform the active suspension system, which is nonlinear, into a virtual linear system. Furthermore, the proposed robust controller design is used to compensator the modeling errors and the external disturbances. Then the T-S fuzzy-neural network can identify the dynamic model of the uncertain active suspension systems. Finally, the results of simulation are illustrated that the proposed controller design presents good performances and effectiveness.

原文英語
頁(從 - 到)321-329
頁數9
期刊International Journal of Fuzzy Systems
12
發行號4
出版狀態已發佈 - 2010 十二月 1

    指紋

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Software
  • Computational Theory and Mathematics
  • Artificial Intelligence

引用此