Research On Intelligent Control Of Circulating Fluidized Bed Boiler Main Steam Pressure And Bed Temperature

With the implementation of energy-saving and emission reduction strategy in the field of thermal power generation, automatic control level of circulating fluidized bed (CFB) boiler is put forward higher requirements. To conduct a thorough study on the automatic control of CFB unit combustion system, has very important practical significance.Based on the working principle of the CFB boiler, aiming at the limitations of traditional modeling and control mode, starting from the intelligent methods, focusing on the actual combustion unit system of main steam pressure and bed temperature were model and control system research on describing. According to field conditions in power plant, using actual operation data, using BP neural network as a tool were obtained for coal-the main steam pressure, coal-bed temperature, a wind-bed temperature transfer function. Specific control strategy design, in the main steam pressure control proposed assignment table is combined with the neural network control method, and the bed temperature control in the innovation of the compensative fuzzy neural controller, make full use of the self learning ability to realize the intelligent control of fuzzy logic and neural network.In conclusion, this text utilizes field data, in the modeling and control using intelligent methods, have achieved good simulation effect, for the future research and application of intelligent method in the circulating fluidized bed boiler has certain significance.