• DocumentCode
    2297195
  • Title

    Research on Suspension System Based on Neural Network Algorithm

  • Author

    Tang, Chuan Yin ; Zhao, Guang Yao ; Zhou, Wei ; Zhou, Shu Wen

  • Author_Institution
    Sch. of Mech. Eng. & Autom., North Eastern Univ., Shenyang, China
  • Volume
    3
  • fYear
    2010
  • fDate
    13-14 March 2010
  • Firstpage
    186
  • Lastpage
    189
  • Abstract
    In this paper, a six degree of freedom half body vehicle suspension system is developed. The neural network algorithm is used to control the suspension system. With the aid of software Matlab/Simulink, the simulation model is achieved. With changing of neural network coefficients, such as changing of training epoch and changing of the network structure, a lot of simulation work is done. Simulation results demonstrate that the proposed active suspension system proves to be effective in vibration reduction and drive stability enhancement of the suspension system.
  • Keywords
    neurocontrollers; suspensions (mechanical components); drive stability enhancement; half body vehicle suspension system; neural network algorithm; software Matlab-Simulink; suspension system; vibration reduction; Damping; Engines; Mathematical model; Neural networks; Road safety; Road vehicles; Shock absorbers; Tires; Vehicle safety; Vibrations; network coefficients; neural networks algorithm; simulation; suspension control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
  • Conference_Location
    Changsha City
  • Print_ISBN
    978-1-4244-5001-5
  • Electronic_ISBN
    978-1-4244-5739-7
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2010.188
  • Filename
    5459681