Experimental Research on the Effect of Boiler Flame Central Position upon the Superheated Steam Temperature Based on BP Neural Network

Superheated steam temperature control of thermal power unit is an important part in the thermal power plant.Aiming at the large boiler superheated steam temperature object volume,large inertia,large time delay,nonlinear characteristics in the use of MATLAB programming and BP neural network algorithm,an experimental research is conducted on the effect of changing central position of boiler flame on the superheated steam temperature,then the relation between coal burner levels and the superheated steam temperature is found.Combed with mechanism analysis,a measurement,which changes each level of coal burners to affect the superheated steam temperature is presented,the measuement is simple and convenient in operation.Simulating results show that this measurement has better prediction accuracy and generalizating ability.