• DocumentCode
    490500
  • Title

    An Active Suspension System using Fuzzy Logic Control

  • Author

    Ro, Paul L. ; Kim, Chul ; Kim, Hoyong

  • Author_Institution
    Assistant Professor, Mechanical and Aerospace Engineering, North Carolina State University, Box 7910, Raleigh NC 27695-7910
  • fYear
    1993
  • fDate
    2-4 June 1993
  • Firstpage
    2252
  • Lastpage
    2253
  • Abstract
    In this paper, a feasibility study is shown for controlling an active automobile suspension system using Fuzzy Logic Control. First, a fuzzy logic algorithm for an active ride comfort control for a quarter car model was formulated. Among many combinations, velocity and acceleration of the sprung mass proved to be most suitable states to formulate the fuzzy algorithm. Secondly, robustness of the algorithm is tested by examining the system performance under the mass and stiffness variations. Simulated results show that the fuzzy logic control if very robust. Lastly, the fuzzy control scheme is compared to an LQ optimal control scheme and the passive case, and the advantages and limitations of the scheme is discussed.
  • Keywords
    Acceleration; Automobiles; Control systems; Fuzzy control; Fuzzy logic; Optimal control; Robust control; Robustness; System performance; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1993
  • Conference_Location
    San Francisco, CA, USA
  • Print_ISBN
    0-7803-0860-3
  • Type

    conf

  • Filename
    4793285