• DocumentCode
    2940430
  • Title

    Instrumentation for electrical vehicle model on road slope using structural analysis

  • Author

    Megatta, Zine-eddine ; Conrard, Blaise ; Bayart, Mireille

  • Author_Institution
    LAGIS, Univ. of Lille 1, Villeneuve-d´´Ascq, France
  • fYear
    2012
  • fDate
    3-6 July 2012
  • Firstpage
    1165
  • Lastpage
    1170
  • Abstract
    This paper focuses on the design of instrumentation of the control system for electrical vehicle model. The method is based on a structural model that describes qualitatively the different relations of the physical variables. The motivation for the choice of structural analysis approach is that this analysis uses a poor knowledge of the system; it uses only the relation between constraints and variables. By analyzing this model, we obtain the different ways to control the unknown variables in function of the sensors measurements and thanks to the available actuators. The main contributions of this paper combines the merits of: i) the modified structural analysis model in order to take into account different operating cases slope of the road constant and variable and their specific features; ii) to study reject disturbance using graph techniques; iii) to obtain the optimal instrumentation for the system of electrical vehicle which insure controllability in despite of the disturbance.
  • Keywords
    actuators; electric sensing devices; electric vehicles; instrumentation; road vehicles; velocity control; actuators; control system; electrical vehicle model; graph techniques; optimal instrumentation; road slope; sensors measurements; speed control; structural analysis approach; Analytical models; Control systems; Equations; Mathematical model; Roads; Sensors; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control & Automation (MED), 2012 20th Mediterranean Conference on
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4673-2530-1
  • Electronic_ISBN
    978-1-4673-2529-5
  • Type

    conf

  • DOI
    10.1109/MED.2012.6265796
  • Filename
    6265796