• DocumentCode
    1555397
  • Title

    Vehicle Velocity Observer Design Using 6-D IMU and Multiple-Observer Approach

  • Author

    Oh, Jiwon J. ; Choi, Seibum B.

  • Author_Institution
    Dept. of Mech. Eng., Korea Adv. Inst. of Sci. & Technol. (KAIST), Daejeon, South Korea
  • Volume
    13
  • Issue
    4
  • fYear
    2012
  • Firstpage
    1865
  • Lastpage
    1879
  • Abstract
    This paper mainly focuses on the accurate estimation of the vehicle velocities of all axes, using the data received from a low-cost 6-D inertial measurement unit. The data include the vehicle linear acceleration and angular rates of all axes. In addition, the observer uses the wheel speed sensors and steering wheel angle information, which are already available on most recent production cars. Utilizing the aforementioned information, based on the combination of a bicycle model and a kinematic model, a multiple-observer system that computes the weighted sum estimation that is dependent on cornering stiffness adaptation is adopted to observe the lateral vehicle velocity, as well as longitudinal and vertical velocities. The stability of each component of the proposed observer is investigated, and a set of assessments to confirm the performance of the entire system is arranged through experiments using a real production sport utility vehicle.
  • Keywords
    acceleration; automobiles; bicycles; control system synthesis; observers; sensors; stability; state estimation; steering systems; vehicle dynamics; velocity; wheels; 6-D IMU; bicycle model; component stability; kinematic model; lateral vehicle velocity; longitudinal velocity; low-cost 6-D inertial measurement unit; multiple-observer system; production cars; real production sport utility vehicle; state estimation; steering wheel angle information; stiffness adaptation; vehicle angular rate; vehicle dynamics; vehicle linear acceleration; vehicle velocity estimation; vehicle velocity observer design; vertical velocity; weighted sum estimation; wheel speed sensor; Adaptive algorithms; Observers; State estimation; Vehicle dynamics; Adaptive algorithm; observers; state estimation; vehicle dynamics;
  • fLanguage
    English
  • Journal_Title
    Intelligent Transportation Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1524-9050
  • Type

    jour

  • DOI
    10.1109/TITS.2012.2204984
  • Filename
    6236180