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Online Identification of a Boiler Steam Pressure System Based on a T-S Model

A new method for the online identification of the main steam pressure system of a boiler from input-output data is proposed by adopting a T-S(Takagi-Sugeno) model structure.Through the use of a kind of innovative online fuzzy-clustering algorithm and an improved Kalman filter algorithm and by combining a supervised learning method with an unsupervised one online self-adaptation identification by the model has been realized.The model can conduct self-learning during operation and adapt to a very large range of operating conditions as well as the timevariation character of boiler characteristics.The results of simulation have verified the effectiveness of the model-building method put forward by the authors.