On-line adaptive T-S fuzzy neural control for active suspension systems

Wei-Yen Wang, Ming Chang Chen, Yi Hsing Chien, Tsu Tian Lee

研究成果: 書貢獻/報告類型會議貢獻

2 引文 斯高帕斯(Scopus)

摘要

Vehicles are not always driven on smooth roads. If parts of the suspension system fail, it becomes an uncertain system. Thus we need an approximator to remodel this uncertain system to maintain good control. In this paper, we propose a new method to on-line identify the uncertain suspension system and design a T-S fuzzy-neural controller to control it. We first use the mean value theorem to transform the active suspension system into a virtual linearized system. In addition, an on-line adaptive T-S fuzzy-neural modeling approach to the design of robust tracking controllers is developed for the uncertain active suspension system. Finally, this paper gives simulation results of an uncertain suspension system with the on-line adaptive T-S fuzzy-neural controller, and is shown to provide good effectiveness under the conditions that parts of the suspension system fail.

原文英語
主出版物標題2009 IEEE International Conference on Fuzzy Systems - Proceedings
頁面1297-1302
頁數6
DOIs
出版狀態已發佈 - 2009 十二月 10
事件2009 IEEE International Conference on Fuzzy Systems - Jeju Island, 大韓民國
持續時間: 2009 八月 202009 八月 24

出版系列

名字IEEE International Conference on Fuzzy Systems
ISSN(列印)1098-7584

其他

其他2009 IEEE International Conference on Fuzzy Systems
國家大韓民國
城市Jeju Island
期間09/8/2009/8/24

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence
  • Applied Mathematics

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  • 引用此

    Wang, W-Y., Chen, M. C., Chien, Y. H., & Lee, T. T. (2009). On-line adaptive T-S fuzzy neural control for active suspension systems. 於 2009 IEEE International Conference on Fuzzy Systems - Proceedings (頁 1297-1302). [5277406] (IEEE International Conference on Fuzzy Systems). https://doi.org/10.1109/FUZZY.2009.5277406