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Circulating fluidized bed technology is one of the developing direction of clean coal technology which is more reality, and one of the effective ways to solve the thermal power to meet the increasingly stringent environmental requirements. Due to the dynamic process of circulating fluidized bed boiler with control of multivariable, nonlinearity, large delay, strong coupling, etc., the general control strategy can not meet the actual requirements. This paper presents a generalized predictive control strategy based on LM-BP neural network, and validates the feasibility and superiority of control strategy through the comparison with traditional PID control strategy. Today's severe energy problem and environmental problems forced the power generation industry focus on looking for clean energy and related technology. Circulating Fluidized Bed(Circulating Fluidized Bed, CFB) combustion technology was developed in the 1980 s, the CFB combustion technology has been rapid development, as a kind of clean coal combustion technology, is now the CFB coal-fired energy problem solving and one of the effective methods of environmental problems. Compared with the conventional pulverized coal fired Boiler, CFBB (Circulating Fluidized Bed Boiler, CFBB) has obvious differences in structure and combustion mechanism. In the control system, there are also many different places between the CFBB and conventional pulverized coal furnace, with one of the most important is the furnace bed temperature control of the combustion chamber. Bed temperature is the key to the CFBB can keep stable operation. In the process of normal combustion boiler operation, the bed temperature must be maintained within the prescribed scope, bed temperature control is the precondition of other adjustment and control. In practical applications, the CFBB control system design is mainly adopt the traditional PID control, the control method can't meet the requirements of the ideal control effect. So, study the application of advanced control technology in the CFBB control has important practical value.

The application of LM-BP Neural Network in the Circulating Fluidized Bed Unit