Applied Research Of Fuzzy Logic Control Of Bed Temperature Of Circulating Fluidized Bed Boiler

Circulating Fluidized Bed Boiler(CFBB or CFB Boiler) have fuel adaptability, The warmhearted intensity of section is high, The contaminant places in proper order a moment, Boiler burden adaptability is good., The fuel is prepared the system distinguishing feature such as easy relatively and so on. As we know, CFBB is a control object that points of distributing parameter and nonlinear and time-variable and strong delay and coupling tightly multivariable. So the higher demand CFBB automation is proposed.Bed temperature is important parameter of CFBB combustion control system. To maintain it normal is the key to the stable and economic operation of CFBB. Here by introducing the theory of CFBB, briefly illustrates the structure and advantages of CFBB, meantime analyses the control model of CFBB. Focusing on complex dynamic characteristic involved in combustion process of CFBB, proposes fuzzy-logic-based CFBB fuzzy-decouple controller and the fuzzy-neural network self-learning controller. With the analysis and comparison the design theory of each controller, the statements of the each controller's advantage and disadvantage are made. Fuzzy-decouple controller fulfills fuzzy feedforward compensation control, and fuzzy-neural network self-learning controller realizes non-model control. The simulation is proceeded. The result shows that synthetically fuzzy controller can provide us a better control quality, robust, speediness than the general PID control system. Since the fuzzy-neural network controller obtains the better self-learning ability, it can perform better control quality than fuzzy-decouple controller when model of object changes relatively great.