• DocumentCode
    3626832
  • Title

    New Improvements of Immune Inspired Optimizer SILO

  • Author

    Konrad Wojdan;Konrad Swirski;Michal Warchol;Tomasz Chomiak

  • Author_Institution
    Warsaw Univ. of Technol., Warsaw
  • Volume
    1
  • fYear
    2007
  • Firstpage
    49
  • Lastpage
    52
  • Abstract
    The article presents new improvements of an immune inspired optimization method, used to control a combustion process in a steam generating, coal fired, large scale boiler. Immune Inspired Optimizer SILO is implemented at each of three units of Ostroleka Power Plant (Poland) and at one unit in Newton Power Plant (USA). The results from Newton Power Plant are presented. They confirm that presented solution is effective and usable in practice and it can be treated as a good alternative to MFC controllers. The main goal of this solution is CO and NOx emission minimization.
  • Keywords
    "Boilers","Optimization methods","Combustion","Mathematical model","Power generation","Control systems","Process control","Signal processing","Immune system","Artificial intelligence"
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 2007. ICTAI 2007. 19th IEEE International Conference on
  • ISSN
    1082-3409
  • Print_ISBN
    0-7695-3015-X;978-0-7695-3015-4
  • Type

    conf

  • DOI
    10.1109/ICTAI.2007.42
  • Filename
    4410261