Enhanced fuzzy sliding mode controller for automated clutch of AMT vehicle

Yong Sheng Zhao, Li Ping Chen, Yun Qing Zhang, Jingzhou Yang

Research output: Contribution to journalConference articlepeer-review

9 Scopus citations

Abstract

Due to the influence of non-linear dynamic characteristic of clutch, time-delays, external disturbance and parameter uncertainty, it is difficult to control the automated clutch precisely during the engaging process of the automated clutch for automatic mechanical transmission (AMT) vehicles. Here, an enhanced fuzzy sliding mode controller (EFSMC) has been proposed to control the automated clutch. To meet the real-time requirement of the automated clutch, the region-wise linear technology is adapted to reduce the fuzzy rules of the EFSMC. The simulation results have shown that the proposed controller can achieve a higher performance with minimum reaching time and smooth control actions. In addition, it shows that the controller is effective and robust to the parametric variation and external disturbance.

Original languageEnglish
JournalSAE Technical Papers
DOIs
StatePublished - 2006
Event2006 SAE World Congress - Detroit, MI, United States
Duration: Apr 3 2006Apr 6 2006

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