• DocumentCode
    724473
  • Title

    T-S fuzzy modeling for cement combined grinding system via working condition template

  • Author

    Zhang Xianlei ; Yuan Zhugang ; Zhang Qiang ; Su Zhe

  • Author_Institution
    Sch. of Electr. Eng., Univ. of Jinan, Jinan, China
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    4727
  • Lastpage
    4732
  • Abstract
    This paper is concerned with a T-S fuzzy modeling method based on working condition template, aims to solve the difficulties in building the accurate models by traditional methods for combined grinding system which has nonlinearity, multivariable and large time delay. Firstly, for more accurate describing the combined grinding system, the input and output variables of pre-grinding roller press process and final grinding ball mill process are chosen by production process analysis. Secondly, the standard template of working condition with operation suggestions for each process is established. Then we partition the input space of T-S fuzzy model into some local regions by working condition template and determine the premise structure and parameters. Finally, a least square algorithm is provided to determine the consequent part of each rule for T-S fuzzy model. Using the actual sample data to simulate the models, the modeling results demonstrate that the proposed algorithm is available and the models can describe combined grinding system production process accurately.
  • Keywords
    ball milling; cements (building materials); fuzzy set theory; grinding; least squares approximations; presses; T-S fuzzy modeling; cement combined grinding system; final grinding ball mill process; least square algorithm; pregrinding roller press process; production process analysis; working condition template; Analytical models; Data models; Elevators; Employee welfare; Presses; Standards; Combined Grinding System; Least Square; System Modeling; T-S Fuzzy; Working Condition Template;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7162760
  • Filename
    7162760