Fuzzy sampled-data control for uncertain vehicle suspension systems

Hongyi Li, Xingjian Jing, Hak Keung Lam, Peng Shi

Research output: Journal article publicationJournal articleAcademic researchpeer-review

283 Citations (Scopus)

Abstract

This paper investigates the problem of sampled-data H∞control of uncertain active suspension systems via fuzzy control approach. Our work focuses on designing state-feedback and output-feedback sampled-data controllers to guarantee the resulting closed-loop dynamical systems to be asymptotically stable and satisfy H∞disturbance attenuation level and suspension performance constraints. Using Takagi-Sugeno (T-S) fuzzy model control method, T-S fuzzy models are established for uncertain vehicle active suspension systems considering the desired suspension performances. Based on Lyapunov stability theory, the existence conditions of state-feedback and output-feedback sampled-data controllers are obtained by solving an optimization problem. Simulation results for active vehicle suspension systems with uncertainty are provided to demonstrate the effectiveness of the proposed method.
Original languageEnglish
Article number6595052
Pages (from-to)1111-1126
Number of pages16
JournalIEEE Transactions on Cybernetics
Volume44
Issue number7
DOIs
Publication statusPublished - 1 Jan 2014

Keywords

  • Active suspension system
  • H∞ control
  • sampled-data control
  • T-S fuzzy model

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Information Systems
  • Human-Computer Interaction
  • Computer Science Applications
  • Electrical and Electronic Engineering

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