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
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;
Conference_Titel :
TENCON '02. Proceedings. 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering
Print_ISBN :
0-7803-7490-8
DOI :
10.1109/TENCON.2002.1182559