• DocumentCode
    1493522
  • Title

    Hybrid intelligent control strategy. Supervising a DCS-controlled batch process

  • Author

    Li, Han-Xiong ; Guan, Shouping

  • Author_Institution
    Dept. of Manuf. Eng. & Eng. Manage., City Univ. of Hong Kong, China
  • Volume
    21
  • Issue
    3
  • fYear
    2001
  • fDate
    6/1/2001 12:00:00 AM
  • Firstpage
    36
  • Lastpage
    48
  • Abstract
    In industrial control, it frequently happens that, while the low-level controller performs very well, high-level supervision is required to maintain good overall performance that is usually beyond the capability of direct machine control. A hybrid control methodology combining conventional and intelligent techniques has been introduced to replace human supervision for a DCS-controlled laminar cooling process. The industrial experiments show the improved performance of the proposed hybrid control model and confirm its validity in a real manufacturing environment. The results can be extended to a wide range of processes with similar features. The methodology is superior in terms of high performance, reliability, simplicity and ease of construction.
  • Keywords
    batch processing (industrial); cooling; distributed control; intelligent control; metallurgical industries; production control; DCS; batch process; direct machine control; distributed control; high-level supervision; hybrid intelligent control strategy; industrial control; laminar cooling process; manufacturing environment; reliability; supervisory control; Construction industry; Cooling; Humans; Industrial control; Intelligent control; Machine control; Machine intelligence; Manufacturing industries; Temperature control; Virtual manufacturing;
  • fLanguage
    English
  • Journal_Title
    Control Systems, IEEE
  • Publisher
    ieee
  • ISSN
    1066-033X
  • Type

    jour

  • DOI
    10.1109/37.924796
  • Filename
    924796