| Along with the developing of the economy, the confliction between the energy exhaustion and the improvement of the people's lives become more and more fierce. For the saving of the energy and the reasonable attribution of the resource, to find an effective coal burning technique has become the goal of china's industry.Circulating Fluidized Bed Boiler(abbr.CFB Boiler), which has the characteristics of fuel flexibility, low pollution and load-regulating capability, is becoming more popular in the power plant of our country. Due to the complex structure, time-varying, nonlinearity, undue lagging and strong coupling, the application of the CFBB is very difficulty. How to improve the quality of the control of the CFBB combustion system has became the issue of the electrical plant.In this paper, it takes the combustion system as the plant and makes the improvement of the efficient of the combustion system as the object. On the base of completely describing of the structure of the CFBB combustion system and the relations of the inputs and outputs, the form of the combustion is analyzed, and the constituent system is given also. The basic knowledge of neural network and the fuzzy control theory is introduced. The structure of the neural cell is given, the essential type and arithmetic is illustrated also. The development and the composition of the fuzzy system are described and the structure of the fuzzy controller is given also. Against to the characteristics of the CFBB a fuzzy neural network controller and one adaptive fuzzy control arithmetic are proposed. By the Matlab and Simulink the controllers are emulated. The result of the emulation of the CFBB combustion control system certifies that the controller is rather good.
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