• DocumentCode
    724109
  • Title

    Tracking control of wheel slip ratio with velocity estimation for vehicle anti-lock braking system

  • Author

    Haiping Du ; Weihua Li ; Yongjun Zhang

  • Author_Institution
    Sch. of Electr., Univ. of Wollongong, Wollongong, NSW, Australia
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    1900
  • Lastpage
    1905
  • Abstract
    Optimal wheel slip ratio control is the key issue in an anti-lock braking system (ABS). Due to the unavailability of direct measurement of vehicle speed, which is required for a reliable computation of wheel slip ratio, and the problem of nonlinear tyre-road friction characteristic, accurate vehicle speed estimation and estimation-based slip ratio control are becoming critical for the implementation of ABS. To estimate the vehicle speed, a fuzzy observer is first designed in the paper based on the Takagi-Sugeno (T-S) fuzzy modelling of the nonlinear vehicle braking system. With the designed observer, a speed estimation-based fuzzy tracking controller is then designed with the consideration of braking torque saturation to track the optimal wheel slip ratio. Both the design of the observer and the controller are achieved by solving a set of linear matrix inequalities. Numerical simulations on a quarter-vehicle braking model are used to validate the effectiveness of the proposed approach.
  • Keywords
    braking; control system synthesis; friction; fuzzy control; linear matrix inequalities; nonlinear control systems; numerical analysis; observers; road vehicles; velocity measurement; wheels; ABS; T-S fuzzy modelling; Takagi-Sugeno fuzzy modelling; braking torque saturation; estimation-based slip ratio control; fuzzy observer design; fuzzy tracking controller design; linear matrix inequalities; nonlinear tyre-road friction characteristic; nonlinear vehicle braking system; numerical simulations; optimal wheel slip ratio control; quarter-vehicle braking model; vehicle anti-lock braking system; vehicle speed estimation; vehicle speed measurement; velocity estimation; Friction; Mathematical model; Observers; Roads; Torque; Vehicles; Wheels; Anti-lock braking; Nonlinear modelling; T-S fuzzy technique; Velocity estimation; Wheel slip ratio control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7162229
  • Filename
    7162229