• DocumentCode
    2440041
  • Title

    Research on modeling and simulation of active seat suspension system based on LQG control

  • Author

    Pan, Gong-yu ; Hao, Xue-ling

  • Author_Institution
    Sch. of Automobile & Traffic Eng., Jiangsu Univ., Zhenjiang, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    656
  • Lastpage
    659
  • Abstract
    In order to improve the vehicle smoothness, the 3-DOF analysis physical and mathematical models of a vehicle and seat air-spring suspension system were established. Based on the linear stochastic optimal control theory (LQG), use the signal of road´s output as excitation source to design the optimal law of this feedback control system. Application of MATLAB simulation programming language was designed for the model and computer simulation. The results show that the control strategy on the road excitation system has a good applicability on control the vibration passed to the driver´s seat through the vehicle and it can effectively reduce the vertical vibration acceleration which is passed to drivers.
  • Keywords
    feedback; linear quadratic Gaussian control; optimal control; road vehicles; seats; springs (mechanical); stochastic systems; suspensions (mechanical components); vehicle dynamics; vibration control; 3-DOF analysis; LQG control; MATLAB simulation programming language; active seat suspension system; computer simulation; control strategy; excitation source; feedback control system; linear stochastic optimal control theory; optimal law; road excitation system; road output; seat air-spring suspension system; vehicle smoothness; vertical vibration acceleration; vibration control; Acceleration; Atmospheric modeling; Driver circuits; Suspensions; Vehicle dynamics; Vehicles; Vibrations; LQG control; Pneumatic suspension; Seat; simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-9172-8
  • Type

    conf

  • DOI
    10.1109/RSETE.2011.5964362
  • Filename
    5964362