• DocumentCode
    2867595
  • Title

    Velocity Control of an Electric Vehicle over a CAN Network

  • Author

    Bosque, Jesus Del ; Hassard, Christian ; Gordillo, Jose Luis

  • Author_Institution
    Center for Intell. Syst., ITESM, Monterrey, Mexico
  • fYear
    2011
  • fDate
    Nov. 26 2011-Dec. 4 2011
  • Firstpage
    121
  • Lastpage
    126
  • Abstract
    Distributed control applications require a reliable network for information exchange. The network discussed on this paper uses CAN bus as a means of communication to control the speed of an electric vehicle. National Instruments Programmable Automation Controller, Compact RIO, based on Lab VIEW programming environment is used to execute one of two different speed control algorithms (PID or fuzzy logic) to test the performance of the implemented vehicle network and the control algorithm itself. It also acts as a human-machine interface via a personal computer. The proposed network provides robustness in terms of communication and opens the possibility of expansion to develop complete control architecture in order to successfully build a fully autonomous vehicle.
  • Keywords
    controller area networks; distributed control; electric vehicles; fuzzy control; man-machine systems; mobile robots; user interfaces; velocity control; CAN bus; CAN network reliability; LabVIEW programming environment; autonomous vehicle; control algorithm; distributed control application; electric vehicle; human-machine interface; information exchange; national instruments programmable automation controller; personal computer; speed control algorithm; vehicle network; velocity control; Real time systems; Sensors; Tuning; Vehicles; Velocity control; Wheels; Autonomous vehicles; CAN networks; Fuzzy logic control; PID control; Velocity control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence (MICAI), 2011 10th Mexican International Conference on
  • Conference_Location
    Puebla
  • Print_ISBN
    978-1-4577-2173-1
  • Type

    conf

  • DOI
    10.1109/MICAI.2011.25
  • Filename
    6119003