• DocumentCode
    661026
  • Title

    Structural analysis of a vehicle dynamics model for fault detection and isolation on the ROboMObil

  • Author

    Lok Man Ho

  • Author_Institution
    Inst. of Syst. Dynamics & Control, German Aerosp. Center (DLR), Oberpfaffenhofen, Germany
  • fYear
    2013
  • fDate
    9-11 Oct. 2013
  • Firstpage
    601
  • Lastpage
    606
  • Abstract
    The ROboMObil, a mobility prototype under development at the DLR, differs from most current road vehicles with its high degree of overactuation with regards to the vehicle dynamics. This is due to the independent traction motor drives and steering actuators in each wheel, as well as one brake-by-wire actuator for each axle. Together with the large number of sensors, these provide opportunities for control and also lead to challenges for fault detection and isolation. In this study, the ROboMObil is represented by the dual track vehicle dynamics model. Structural analysis methods are used to determine the Minimally Structurally Overdetermined Sets of constraints. Each of these can be used to check the consistency of the constraints which it contains. A minimal set of MSO sets is selected to achieve the maximal isolation for the faults of interest. The validity of this method is illustrated using a simulation and simple analytic redundancy relations for selected MSO sets.
  • Keywords
    actuators; axles; fault diagnosis; road vehicles; tracked vehicles; traction motor drives; vehicle dynamics; wheels; MSO sets; ROboMObil; brake-by-wire actuator; fault detection; fault isolation; independent traction motor drives; minimally structurally overdetermined sets; mobility prototype; road vehicles; steering actuators; structural analysis; vehicle dynamics model; Equations; MATLAB; Tires; Vehicle dynamics; Wheels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Fault-Tolerant Systems (SysTol), 2013 Conference on
  • Conference_Location
    Nice
  • Type

    conf

  • DOI
    10.1109/SysTol.2013.6693838
  • Filename
    6693838