Fuzzy modeling and prediction of combustion layers′ temperature for power plant

This paper develops a fuzzy modeling strategy to study the temperature of different combustion layers in a power plant. First, a new infrared temperature measurement system is developed to measure three layers (bottom, middle and upper) temperature on both sides of the boiler. Then, a fuzzy clusteri...

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Bibliographic Details
Published inJournal of intelligent & fuzzy systems Vol. 41; no. 6; pp. 7081 - 7091
Main Authors Yang, Guotian, Wang, Xiaowei, Wang, Yingnan
Format Journal Article
LanguageEnglish
Published Amsterdam IOS Press BV 01.01.2021
Subjects
Algorithms
Clustering
Combustion
Modelling
Parameter identification
Power plants
Temperature measurement
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Summary:This paper develops a fuzzy modeling strategy to study the temperature of different combustion layers in a power plant. First, a new infrared temperature measurement system is developed to measure three layers (bottom, middle and upper) temperature on both sides of the boiler. Then, a fuzzy clustering modeling algorithm is designed based on entropy to determine the structure of the fuzzy model and the corresponding fuzzy memberships of local models. The effect of modeling mismatches are overcome by the use of online identification of parameters. Simulation results show that the effectiveness of the proposed method can be achieved for a 660 MW power plant.
ISSN:1064-1246
1875-8967
DOI:10.3233/JIFS-210965