• DocumentCode
    3367382
  • Title

    Design of longitudinal vehicle velocity observer using fuzzy logic and Kalman filter

  • Author

    Liang Chu ; Libo Chao ; Yongsheng Zhang ; YanRu Shi

  • Author_Institution
    State Key Lab. of Automobile Dynamic Simulation, Jilin Univ., Changchun, China
  • Volume
    6
  • fYear
    2011
  • fDate
    12-14 Aug. 2011
  • Firstpage
    3225
  • Lastpage
    3228
  • Abstract
    An adaptive vehicle longitudinal velocity observer is designed in this paper for Electronic stability control system based on the standard sensors for ESC. At first, wheel speed of each wheel is converted to the center of gravity of the vehicle after they have been converted to free rolling speed; then fuzzy logic is used to get a first estimation of vehicle longitudinal velocity; together with the estimated vehicle longitudinal acceleration, Kalman filter is used the estimate the velocity of vehicle for the use of ESC control. Simulation results show that the algorithm proposed can estimate the vehicle longitudinal velocity precisely.
  • Keywords
    Kalman filters; control system synthesis; fuzzy logic; observers; road vehicles; sensors; stability; ESC control; Kalman filter; adaptive vehicle longitudinal velocity observer design; electronic stability control system; free rolling speed; fuzzy logic; road vehicles; standard sensors; vehicle longitudinal acceleration; wheel speed; Acceleration; Equations; Mathematical model; Observers; Vehicles; Wheels; ESC; fuzzy logic; kalman filtering; longitudinal speed;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on
  • Conference_Location
    Harbin, Heilongjiang, China
  • Print_ISBN
    978-1-61284-087-1
  • Type

    conf

  • DOI
    10.1109/EMEIT.2011.6023772
  • Filename
    6023772