• DocumentCode
    3225764
  • Title

    Identification of a boiler-turbine system using T-S fuzzy model

  • Author

    Jizhen, Liu ; Yanqiao, Chen ; Deliang, Zeng ; Guangjun, Yang

  • Author_Institution
    North China Electr. Power Univ., Hebei, China
  • Volume
    3
  • fYear
    2002
  • fDate
    28-31 Oct. 2002
  • Firstpage
    1278
  • Abstract
    This paper discusses a model identification method using T-S fuzzy model. And the fuzzy entropy is defined and on-line identification algorithm based on maximum fuzzy entropy and loss function is proposed. Using the identification algorithm, we get the high precision local linear model of a boiler-turbine fuzzy model. And this provides the basement of a new way to control the complex nonlinear system using the traditional control strategy.
  • Keywords
    boilers; fuzzy set theory; identification; steam turbines; T-S fuzzy model; boiler-turbine model; fuzzy entropy; loss function; maximum fuzzy entropy; model identification; nonlinear system; on-line identification; Clustering algorithms; Control systems; Entropy; Fuzzy sets; Fuzzy systems; Lagrangian functions; Nonlinear control systems; Nonlinear systems; Power system modeling; Takagi-Sugeno model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    TENCON '02. Proceedings. 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering
  • Print_ISBN
    0-7803-7490-8
  • Type

    conf

  • DOI
    10.1109/TENCON.2002.1182559
  • Filename
    1182559