• DocumentCode
    2479342
  • Title

    Bridging the gap between universities and industry

  • Author

    Blevins, Terrence L. ; McMillan, Gregory K.

  • Author_Institution
    Emerson Process Manage., Austin, TX, USA
  • fYear
    2009
  • fDate
    10-12 June 2009
  • Firstpage
    2720
  • Lastpage
    2729
  • Abstract
    The distributed control system (DCS) is the most prevalent means of implementing batch and continuous control in the process industry. The DCS platform may also be effectively used for the evaluation and demonstration of innovative algorithms developed at a university. The integrated online advanced controls, diagnostics, data analytics, and process modeling capability of a DCS facilitate university research. This working environment also prepares students for careers in industry. The paper discusses the industrial standards adopted by the DCS that allow students and researchers to concentrate on the application of new control capabilities. External applications such as Matlab can be used with the DCS to explore control and process modeling. In this environment, the student and researchers may take advantage of preconfigured and automated features of the DCS. Process simulations may be integrated into the DCS to create a virtual plant capability that is capable of running faster than real-time. The DCS supports wireless and internet access to the virtual plant which increases ease of use in a lab or pilot plant. The DCS system enables rapid exploration, discovery, and prototyping of process modeling and control technologies in a university environment and deployment in industry.
  • Keywords
    control engineering computing; distributed control; process control; virtual manufacturing; Internet access; Matlab; continuous control; data analytics; diagnostics; distributed control system; industrial standards; innovative algorithm; online advanced control; process industry; process modeling capability; virtual plant capability; Automatic control; Control systems; Data analysis; Distributed control; Educational institutions; Electrical equipment industry; Engineering profession; Industrial control; Mathematical model; Process control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2009. ACC '09.
  • Conference_Location
    St. Louis, MO
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4244-4523-3
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2009.5160750
  • Filename
    5160750