Linearized model of steam reheating unit realized by fuzzy nets

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F10%3A%230001696" target="_blank" >RIV/46747885:24220/10:#0001696 - isvavai.cz</a>

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Linearized model of steam reheating unit realized by fuzzy nets

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Linearized model of steam reheating unit realized by fuzzy nets

Popis výsledku anglicky

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.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

BC - Teorie a systémy řízení

OECD FORD obor

—

Projekt

<a href="/cs/project/1M06059" target="_blank" >1M06059: Progresivní technologie a systémy pro energetiku</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2010

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Metalurgija

ISSN

0543-5846

e-ISSN

—

Svazek periodika

49

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

HR - Chorvatská republika

Počet stran výsledku

5

Strana od-do

—

Kód UT WoS článku

—

EID výsledku v databázi Scopus

—