• DocumentCode
    3503254
  • Title

    Combined throttle and brake control for vehicle cruise control: A model free approach

  • Author

    Hakgu Kim ; Kyongsu Yi

  • Author_Institution
    Seoul Nat. Univ., Seoul, South Korea
  • fYear
    2013
  • fDate
    23-26 June 2013
  • Firstpage
    859
  • Lastpage
    864
  • Abstract
    This paper has been focused on the design of throttle and brake controller for vehicle speed control. The control goals of the speed control are reduction of the effects of model uncertainty and external disturbance caused by the nonlinearity of the servo-level dynamics and the unpredictable driving resistance such as inclination of road and aero dynamic drag force. The tracking performance also should be guaranteed. To that end, a model free approach has been proposed in this paper. The proposed controller uses modified linear longitudinal vehicle model with reasonable assumptions to derive throttle and brake control law and a few parameters in the vehicle model has been defined to represent the system delay and variation of the vehicle parameters during driving. Since the defined parameters named vehicle characteristic variables(VCVs) vary depending on the vehicle states, an adaptation algorithm has been developed to estimate the VCVs. The error dynamics of the vehicle acceleration and VCVs have been analyzed to prove the stability of the proposed algorithm. The tracking performance of the model free cruise controller has been verified by simulation. The results not only show good tracking performance but also verify that the MFCC considerably reduces the effects of model uncertainty and external disturbance using adaptation algorithm.
  • Keywords
    adaptive control; control nonlinearities; control system synthesis; delays; road vehicles; stability; uncertain systems; velocity control; MFCC; adaptation algorithm; aerodynamic drag force; brake control; controller design; error dynamics; external disturbance; model free approach; model free cruise controller; model uncertainty; modified linear longitudinal vehicle model; road inclination; servo-level dynamics nonlinearity; stability; system delay; throttle control; tracking performance guarantee; unpredictable driving resistance; vehicle acceleration; vehicle characteristic variables; vehicle cruise control; vehicle parameter variation; vehicle speed control; vehicle states; Acceleration; Adaptation models; Heuristic algorithms; Mathematical model; Mel frequency cepstral coefficient; Vehicle dynamics; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium (IV), 2013 IEEE
  • Conference_Location
    Gold Coast, QLD
  • ISSN
    1931-0587
  • Print_ISBN
    978-1-4673-2754-1
  • Type

    conf

  • DOI
    10.1109/IVS.2013.6629574
  • Filename
    6629574