• DocumentCode
    550943
  • Title

    Data/physics modelling of vehicle dynamics and application to velocity estimation

  • Author

    Guo Hongyan ; Chen Hong ; Zhang Huayu

  • Author_Institution
    State Key Lab. of Automobile Dynamic Simulation, Jilin Univ., Changchun, China
  • fYear
    2011
  • fDate
    22-24 July 2011
  • Firstpage
    5304
  • Lastpage
    5309
  • Abstract
    In order to reduce the computation burden of the complex tyre model, the mixed data/physics tyre model is built at first, taking the requirement of miniaturization and real-time performance of electronic control system into account. Then, the vehicle dynamics description is obtained and the mixed model is validated in the following. Based on this, the nonlinear cascaded observer is designed using the modular estimation scheme. Then the stability of the nonlinear cascaded observer is analyzed. In order to verify the vehicle velocity estimation results, the simulation is carried out in the conventional and critical condition in the vehicle running. Meanwhile, the estimation results are compared with the nonlinear reduce order observer and vehicle dynamics software veDYNA. The simulation results show that the cascaded observer using mixed data/physics vehicle model has faster computation speed on the premise of better estimation results, and could satisfy the requirements of engineering application.
  • Keywords
    observers; reduced order systems; stability; tyres; vehicle dynamics; complex tyre model; electronic control system; modular estimation scheme; nonlinear cascaded observer stability; nonlinear reduce order observer; physics modelling; veDYNA; vehicle dynamics software; velocity estimation; Computational modeling; Data models; Observers; Stability analysis; Tires; Vehicle dynamics; Vehicles; Data/Physics Modelling; Input-to-State Stability; Nonlinear Cascaded Observer; Vehicle Dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2011 30th Chinese
  • Conference_Location
    Yantai
  • ISSN
    1934-1768
  • Print_ISBN
    978-1-4577-0677-6
  • Electronic_ISBN
    1934-1768
  • Type

    conf

  • Filename
    6001284