Dynamic Fuzzy Model Development for a Drum-type Boiler-turbine Plant Through GK Clustering

This paper discusses a TS fuzzy model identification method for all industrial drum-type boiler plant using the GK fuzzy clustering approach. The fuzzy model is constructed from a Set Of input-output data that covers, a wide operating range of the physical plant. The reference data is generated using a complex first-principle-based mathematical model that describes die key dynamical properties of the boiler-turbine dynamics. The proposed fuzzy model is derived by mean,; of fuzzy clustering method with particular attention oil structure flexibility and model interpretability issues. This may provide a basement of a new way to design model based control and diagnosis mechanisms for the complex nonlinear plant.