• DocumentCode
    2086422
  • Title

    Supervisory control of an energy management control system via fuzzy logic

  • Author

    Belur, Raghu ; Langari, Reza

  • Author_Institution
    Dept. of Mech. Eng., Texas A&M Univ., College Station, TX, USA
  • fYear
    1993
  • fDate
    1-3 Dec 1993
  • Firstpage
    120
  • Lastpage
    122
  • Abstract
    In this paper an approach to supervisory control of multi-stage industrial control systems is presented. This approach is based on the notion of an internal reference model, and further makes use of a fuzzy multi-objective optimization strategy to compute the control action via an iterative approach. This framework has been shown to be effective in the operation of an energy management and control system (EMCS) used in climate control and may offer similar advantages in other situations as well
  • Keywords
    fuzzy control; fuzzy logic; industrial control; inference mechanisms; intelligent control; iterative methods; climate control; energy management control system; fuzzy logic; fuzzy multiobjective optimization; internal reference model; iterative approach; multistage industrial control systems; supervisory control; Control systems; Energy management; Fuzzy control; Fuzzy logic; Fuzzy set theory; Industrial control; Iterative methods; Mechanical engineering; Refining; Supervisory control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Fuzzy Control and Intelligent Systems, 1993., IFIS '93., Third International Conference on
  • Conference_Location
    Houston, TX
  • Print_ISBN
    0-7803-1485-9
  • Type

    conf

  • DOI
    10.1109/IFIS.1993.324202
  • Filename
    324202