• DocumentCode
    2574015
  • Title

    Artificial intelligence in boiler control

  • Author

    Raghupathy, K. ; Yadav, Rajiv Kumar

  • Author_Institution
    Dept. of Atomic Energy, Indira Gandhi Centre for Atomic Res., Kalpakkam, India
  • fYear
    2015
  • fDate
    18-20 Feb. 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Artificial Intelligence (AI) techniques are becoming useful as alternate approaches to conventional techniques. They have been used to solve complicated practical problems and now a day is very popular. They can learn from examples, fault tolerant in the sense they are able to handle noisy and incomplete data and once trained can perform faster prediction and generalization. AI based systems are used mainly because of their symbolic reasoning, flexibility and explanation capabilities. This paper briefly presents the main AI techniques and outlines an application in boiler control. Master controller is required for a steam generating system having multiple boilers operating in parallel. AI technique of Fuzzy logic controller is proposed as master controller. The optimum performance of individual boilers is achieved by the master controller meeting the varying load demands of the steam system.
  • Keywords
    boilers; fault tolerance; fuzzy control; power generation control; artificial intelligence; boiler control; fault tolerant; fuzzy logic controller; master controller; multiple boilers; steam generating system; symbolic reasoning; Artificial intelligence; Boilers; Combustion; Fuzzy logic; Input variables; Pragmatics; boilers; fuzzy control; load manager; optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics, Automation, Control and Embedded Systems (RACE), 2015 International Conference on
  • Conference_Location
    Chennai
  • Type

    conf

  • DOI
    10.1109/RACE.2015.7097268
  • Filename
    7097268