Optimal fuzzy control design for half-car active suspension systems

Shinq Jen Wu*, Hsin Han Chiang, Jiun Hau Chen, Tsu Tian Lee

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

The optimal fuzzy controller of a nonlinear active suspension system is designed based on the TakagiSugeno (T-S) fuzzy model. First, the half-car suspension system dynamics is converted to a T-S fuzzy model. Then each local controller design is derived by applying linear optimal control theory and the global effect can be achieved by fuzzily blending with local optimal controller if a sufficient condition can be met. The stability of the entire closed-loop fuzzy system can be ensured by the designed optimal fuzzy controller. The simulation results indicate the feasibility and the applicability of the designed controller, which also provides much better performance than conventional passive suspension system.

Original languageEnglish
Title of host publicationConference Proceedings - 2004 IEEE International Conference on Networking, Sensing and Control
Pages583-588
Number of pages6
Publication statusPublished - 2004
Externally publishedYes
EventConference Proceeding - 2004 IEEE International Conference on Networking, Sensing and Control - Taipei, Taiwan
Duration: 2004 Mar 212004 Mar 23

Publication series

NameConference Proceeding - IEEE International Conference on Networking, Sensing and Control
Volume1

Other

OtherConference Proceeding - 2004 IEEE International Conference on Networking, Sensing and Control
Country/TerritoryTaiwan
CityTaipei
Period2004/03/212004/03/23

Keywords

  • Active suspension system
  • Fuzzy control
  • Half-car model
  • T-S fuzzy model

ASJC Scopus subject areas

  • Engineering(all)

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