A robust single-input adaptive sliding mode fuzzy logic controller for automotive active suspension system

Ibrahim B. Kucukdemiral, Seref N. Engin, Vasfi E. Omurlu, Galip Cansever

Research output: Contribution to journalArticle

Abstract

The proposed controller in this paper, which combines the capability of fuzzy logic with the robustness of sliding mode controller, presents prevailing results with its adaptive architecture and proves to overcome the global stability problem of the control of nonlinear systems. Effectiveness of the controller and the performance comparison are demonstrated with chosen control techniques including PID and PD type self-tuning fuzzy controller on a quarter car model which consists of component-wise nonlinearities.
Original languageEnglish
Pages (from-to)981-986
Number of pages6
JournalLecture Notes in Artificial Intelligence
Volume3613
DOIs
Publication statusPublished - 2005

Keywords

  • fuzzy controller
  • sliding mode
  • Fuzzy logic controller (FLC)
  • slide mode controller
  • ride comfort

Fingerprint Dive into the research topics of 'A robust single-input adaptive sliding mode fuzzy logic controller for automotive active suspension system'. Together they form a unique fingerprint.

  • Cite this