• DocumentCode
    2345071
  • Title

    Comparison of H-8 and Optimized-LQR Controller in Active Suspension System

  • Author

    Shirdel, A.H. ; Gatavi, E. ; Hashemiyan, Z.

  • Author_Institution
    Dept. of Control & Instrum. Eng., Univ. Teknol. Malaysia, Skudai, Malaysia
  • fYear
    2010
  • fDate
    28-30 Sept. 2010
  • Firstpage
    241
  • Lastpage
    246
  • Abstract
    The objectives of this paper are to establish the mathematical model and the robust control technique of the active suspension system for a quarter-car model. The aim of a car suspension system is to improve riding quality while handling characteristics subject remain good to uneven or rude road surface. The purpose of designing the controller for the car suspension system is to reduce the traditional design as trade-off between ride comfort and handling by directly controlling the suspension force to road and driving conditions. The H-∞ and LQR controllers are used to reject the effects of road disturbances. H-∞ controller is able to reject the uncertainty of the system and remain the system robustness while road disturbance enter to suspension system. The controller and suspension system performances are simulated to proof the effectiveness of the proposed controllers. Simulink Response Optimization toolbox in matlab is used to optimize the best gain for the controller feedback. The performance of the H-∞ controller is compared with the LQR controller, LQR optimize and the passive suspension systems.
  • Keywords
    H∞ control; automotive engineering; force control; linear quadratic control; optimisation; suspensions (mechanical components); H-∞ control; Simulink response optimization; active suspension system; optimized LQR control; passive suspension systems; quarter-car model; robust control technique; suspension force control; H-8 controller; LQR controller; Suspension control system; optimal control; optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence, Modelling and Simulation (CIMSiM), 2010 Second International Conference on
  • Conference_Location
    Bali
  • Print_ISBN
    978-1-4244-8652-6
  • Electronic_ISBN
    978-0-7695-4262-1
  • Type

    conf

  • DOI
    10.1109/CIMSiM.2010.42
  • Filename
    5701851