• DocumentCode
    424995
  • Title

    Managing complexity in large-scale control system design

  • Author

    Phillips, Anthony ; Yanakiev, Diana ; Jiang, Fangjun

  • Author_Institution
    Res. & Adv. Eng., Ford Motor Co., Dearborn, MI, USA
  • Volume
    5
  • fYear
    2004
  • fDate
    June 30 2004-July 2 2004
  • Firstpage
    4698
  • Abstract
    Continued advances in onboard computing technology are allowing automotive companies to accelerate the level of functionality delivered on new vehicles through electronics and software. New features such as hybrid powertrains and vehicle stability control are driving the need for vehicle-level supervisory control. In this work, the supervisory controller was defined in a modular and hierarchical structure in order to achieve better reusability and flexibility in incorporating new technologies into existing applications. In addition, a database tool was developed for the purpose of managing the complexity associated with maintaining the modular and hierarchical structure. Finally, the application of this work to advanced development of new hybrid vehicle prototypes is described.
  • Keywords
    automobiles; control engineering computing; control system synthesis; database management systems; large-scale systems; stability; automotive companies; complexity management; database tool; hybrid powertrain; hybrid vehicle prototype; large-scale control system design; onboard computing technology; vehicle stability control; vehicle-level supervisory control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2004. Proceedings of the 2004
  • Conference_Location
    Boston, MA, USA
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-8335-4
  • Type

    conf

  • Filename
    1384054