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  • This paper presents a possibility of modeling the projected steam reheating process. The model is based on the Takagi-Sugeno fuzzy models (TSFM). The steam reheating unit model is in the fact the full nonlinear with distributed parameters in space. Computing time can be very long in this case. The simplification tendency of nonlinear model is ranked among main reasons of using the fuzzy nets approach. This can be useful in developing of new control algorithms. The identification is done for nonlinear model of technological unit and the identification process is made on power level 70-100%. Obtained transfer functions have order N with various time constants and gains. The power level and changes of input variables are loaded to the TSFM. The output temperature is generated via transfer function with variables parameters, which are obtained from output of fuzzy blocks. The results are compared with a full nonlinear model and are presented.
  • This paper presents a possibility of modeling the projected steam reheating process. The model is based on the Takagi-Sugeno fuzzy models (TSFM). The steam reheating unit model is in the fact the full nonlinear with distributed parameters in space. Computing time can be very long in this case. The simplification tendency of nonlinear model is ranked among main reasons of using the fuzzy nets approach. This can be useful in developing of new control algorithms. The identification is done for nonlinear model of technological unit and the identification process is made on power level 70-100%. Obtained transfer functions have order N with various time constants and gains. The power level and changes of input variables are loaded to the TSFM. The output temperature is generated via transfer function with variables parameters, which are obtained from output of fuzzy blocks. The results are compared with a full nonlinear model and are presented. (en)
Title
  • Linearized model of steam reheating unit realized by fuzzy nets
  • Linearized model of steam reheating unit realized by fuzzy nets (en)
skos:prefLabel
  • Linearized model of steam reheating unit realized by fuzzy nets
  • Linearized model of steam reheating unit realized by fuzzy nets (en)
skos:notation
  • RIV/46747885:24220/10:#0001696!RIV11-MSM-24220___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1M06059)
http://linked.open...iv/cisloPeriodika
  • 2
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 268565
http://linked.open...ai/riv/idVysledku
  • RIV/46747885:24220/10:#0001696
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Modeling, Takagi-Sugeno fuzzy model, identification, nonlinear model (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • HR - Chorvatská republika
http://linked.open...ontrolniKodProRIV
  • [B16CF967E866]
http://linked.open...i/riv/nazevZdroje
  • Metalurgija
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 49
http://linked.open...iv/tvurceVysledku
  • Náhlovský, Tomáš
issn
  • 0543-5846
number of pages
http://localhost/t...ganizacniJednotka
  • 24220
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