• DocumentCode
    2450464
  • Title

    Study of Driving Performance of Semi-active Suspension Based on Hybrid Control Strategy

  • Author

    Liu, Dawei ; Chen, Huanming ; Jiang, Rongchao ; Liu, Wei

  • Author_Institution
    Automobile Eng. Dept., Qingdao Univ., Qingdao, China
  • Volume
    2
  • fYear
    2010
  • fDate
    16-17 Dec. 2010
  • Firstpage
    43
  • Lastpage
    46
  • Abstract
    In order to study the driving performance of semi-active suspension vehicle, a detailed multi-body driving dynamics model of the car were established by using SIMPACK software., and a hybrid control strategy was worked out by means of Matlab/Simulink. The Simpack-Matlab co-simulation method was used to analyze the ride ability of semi-active suspension. The result showed that, the semi-active suspension based on hybrid control strategy could reduce the body vertical acceleration, roll angular acceleration, pitch angular acceleration and suspension dynamic deflection, and that was not under the condition of the wheel dynamic load increase. The semi-active suspension based on hybrid control strategy could reduce the vehicle body vibration and improve the ride comfort under the condition of the value of dynamic tire load not to be increased.
  • Keywords
    acceleration control; automobiles; mathematics computing; shock absorbers; suspensions (mechanical components); tyres; vibration control; Simpack-Matlab cosimulation method; Simulink; body vertical acceleration control; hybrid control strategy; multibody driving dynamics model; pitch angular acceleration control; roll angular acceleration control; semiactive suspension vehicle driving performance; suspension dynamic deflection control; vehicle body vibration reduction; Acceleration; Roads; Suspensions; Tires; Vehicle dynamics; Vehicles; Wheels; co-simulation; hybrid control; multi-body dynamic model; semi-active suspension system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems (GCIS), 2010 Second WRI Global Congress on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-9247-3
  • Type

    conf

  • DOI
    10.1109/GCIS.2010.243
  • Filename
    5708674