Boiler is a traditional steam production equipment,widely used in electric power,chemical industry,machinery and other fields,as well as plays an important role in urban and rural residents heating.With the continuous development of the industrial level,the boiler system has developed into a large and complex control object witha large number of input and output parameters,which affect each other and are closely related,so it is difficult to establish an accurate mathematical model to control the operation of the boiler for the parameters characteristics of large inertia,large delay and nonlinear.The boiler operation process is divided into feed water control system,combustion control system and superheated steam system,and the operation process and control method of gas boiler are analyzed.Based on the nonlinear correlation of the input and output parameters of boiler,a fuzzy neural network model is proposed to control boiler operation.According to the actual operation characteristics of a boiler,the appropriate input and output parameters are selected,and the T-S fuzzy neural network model is established by combining T-S fuzzy theory and BP neural network to control the operation of the boiler system.A simulation experiment is carried out to compare the calculation results of the neural network with the actual operation results of the gas boiler.The simulation results show that the error of the T-S fuzzy neural network model is within a reasonable range,which can well predict the operation results of the boiler and improve the combustion stability.
gas boilerneural networkfuzzy theoryboiler operation control
NETL
NSTL
万方数据
