The Modeling And Simulation Of 330MW Circulating Fluidized Bed Boiler

The Circulating Fluidized Bed Boiler(CFBB)is becoming the main coal combustion technique for its attractive advantages of low pollution, high combustion efficiency, good load-following capability and fuel flexibility, which is widely used. But, because of the unit’s complex characteristics such as non-linearity, undue lagging, time-variety, multivariable coupling and uncertain, it is very difficult to build its dynamic model. So the low controlling level is keeping.Based on the dynamic characteristics carefully analysis and discussion of circulating fluidized bed boiler unit, this paper study on modeling of a 330MW CFB unit by RBF neural network and fuzzy neural network, then compare with linear model of the unit by the least square method. The simulation indicat that the model is effective.