A GENETIC ALGORITHM BASED FUZZY SYSTEM FOR SEMI-ACTIVE SUSPENSION SYSTEM DESIGN

In this study, a genetic algorithm (GA) based fuzzy system is developed to generate a rule table automatically for a fuzzy semi- active suspension system design. After the configuration is described, the GA is employed for tuning proper fuzzy membership function and control table. For selecting a proper controller for the nonlinear damper, the membership functions are set to be tunable in GA.

  • Supplemental Notes:
    • Publication Date: 1994 Published By: Society of Automotive Engineers of Japan, Tokyo
  • Corporate Authors:

    Mitsubishi Jidosha Kogyo Kabushiki Kaisha

    ,    

    Daimler-Benz A.G.

    Mercedesstrade 136
    Stuttgart-Unterturk,   Germany 

    Technische Universitat Braunschweig

    Braunschweig Pavement Engineering Centre
    Pockelsstrabe 3
    38106 Braunschweig,   Germany 

    Nihon Jidosha Kenkyujo

    ,    

    Jamiat al-Bahrayn. Dept. of Mechanical Engineering

    ,    

    Technische Universitat Wien

    ,    

    Deutsche Forschungs-u Versuchsanst f Luft-u Raumft

    Berlin,   Germany 

    Technische Universitat Berlin. Institut fur Fahrzeugtechnik

    ,    

    Rheinisch-Westfalische Technische Hochschule Aachen. Institut fur Kraftfahrwesen

    ,    

    Tokyo Daigaku. Dept. of Mechanical Engineering

    ,    

    Tokyo Noko Daigaku

    ,    

    Concordia University

    Department of Mechanical and Industrial Engineering
    1455 de Maisonneuve Boulevard, West
    Montreal, Quebec  Canada  H3G 1M8

    Crain Communications, Incorporated

    1155 Gratiot Avenue
    Detroit, MI  United States  48207-2997

    University of California, Berkeley

    Department of Mechanical Engineering
    Berkeley, CA  United States  94720-1740

    University of Michigan Transportation Research Institute

    2901 Baxter Road
    Ann Arbor, MI  United States  48109-2150

    Tokyo Daigaku

    ,    

    University of California, Berkeley

    California PATH Program, Institute of Transportation Studies
    Richmond Field Station, 1357 South 46th Street
    Richmond, CA  United States  94804-4648

    TNO ROAD VEHICLE RESEARCH INSTITUTE

    SCHOEMAKERSTRAAT 97
    DELFT,   Netherlands  2600 JA

    Prometheus (Program)

    ,    

    Bayerische Motoren Werke

    ,    

    Honda Gijutsu Kenkyujo

    ,    

    Industrial Research Institute for Automation and Measurements (Poland)

    ,    

    Laboratoire de Modelisation et Identification en Automatique et en Mechanique (Mulhouse, France)

    ,    

    Omron Corporation

    Traffic Solutions Division
    2-2-1, Nishikusatsu,
    Kusatsu-city, Shiga-prefecture  Japan  525-0035
  • Authors:
    • Yeh, Edge C
    • Lu, Shao How
    • Chen, Chin Chih
  • Conference:
  • Publication Date: 1994

Language

  • English

Media Info

  • Pagination: p. 189-194

Subject/Index Terms

Filing Info

  • Accession Number: 00774496
  • Record Type: Publication
  • Source Agency: UC Berkeley Transportation Library
  • Files: PATH
  • Created Date: Nov 17 1999 12:00AM