• DocumentCode
    2993167
  • Title

    Optimization design of steering linkage in independent suspension based on genetic algorithm

  • Author

    Zhou, Bing ; Li, Dongsheng ; Yang, Fan

  • Author_Institution
    State Key Lab. of Adv. Design & Manuf. for Vehicle Body, Hunan Univ, Changsha, China
  • fYear
    2009
  • fDate
    26-29 Nov. 2009
  • Firstpage
    45
  • Lastpage
    48
  • Abstract
    The design of steering linkage must meet Ackerman steering characteristic, and the change of toe-in angle during wheel jumping should be the smallest. The virtual prototype model of McPherson suspension and steering linkage is established by using the ADAMS software. Due to the ADAMS software´s limitation in optimized method, an optimize method that combine MATLAB genetic algorithm toolbox with ADAMS software is used, the steering linkage is optimized which take the Ackerman steering error and the change of toe-in angle during wheel jumping as optimal objective function. The simulation result indicates that the Ackerman steering characteristic and the toe-in angle characteristic are both improved after the optimization.
  • Keywords
    couplings; genetic algorithms; steering systems; suspensions (mechanical components); ADAMS software; Ackerman steering characteristic; MATLAB; McPherson suspension; genetic algorithm; independent suspension; optimization design; steering linkage; wheel jumping; Algorithm design and analysis; Couplings; Design optimization; Genetic algorithms; Mathematical model; Optimization methods; Software prototyping; Software tools; Virtual prototyping; Wheels; ADAMS; Genetic Algorithm; Optimization Design; Steering Linkage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Aided Industrial Design & Conceptual Design, 2009. CAID & CD 2009. IEEE 10th International Conference on
  • Conference_Location
    Wenzhou
  • Print_ISBN
    978-1-4244-5266-8
  • Electronic_ISBN
    978-1-4244-5268-2
  • Type

    conf

  • DOI
    10.1109/CAIDCD.2009.5374895
  • Filename
    5374895