• DocumentCode
    2416354
  • Title

    Modeling scheme for vehicle longitudinal control

  • Author

    Wang, Weizheng

  • Author_Institution
    MathWorks, Inc., Natick, MA, USA
  • fYear
    1992
  • fDate
    1992
  • Firstpage
    549
  • Abstract
    A modeling scheme for vehicle longitudinal control based on system input/output data is developed. A family of linear fractional transformation (LFT) models is used to describe vehicle dynamics. Each of the LFT models is valid over a given dynamic range around its operating point. With these LFT models available, robust controllers can be designed using available tools. Strategies and algorithms for building LFT models of vehicle longitudinal control are introduced. Attention is given to excitation signals for the system input, H identification methods, and coverage of the system uncertainties. Experiments with a test vehicle have been conducted using these techniques, and a family of LFT models for vehicle longitudinal control has been constructed based on the experimental data. The modeling method is illustrated by using simulation data
  • Keywords
    adaptive control; identification; optimal control; road vehicles; H identification methods; excitation signals; linear fractional transformation; robust controllers; system input/output data; system uncertainties; vehicle dynamics; vehicle longitudinal control; Buildings; Control system synthesis; Dynamic range; Engines; Intelligent vehicles; Mechanical factors; Road vehicles; Robust control; Signal processing; Sparks; System testing; Testing; Uncertainty; Vehicle dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1992., Proceedings of the 31st IEEE Conference on
  • Conference_Location
    Tucson, AZ
  • Print_ISBN
    0-7803-0872-7
  • Type

    conf

  • DOI
    10.1109/CDC.1992.371674
  • Filename
    371674