Modeling method for combustion optimization of porous medium combustor

Abstract

The invention relates to a modeling method for combustion optimization of a porous medium combustor, and provides a modeling method considering both model prediction accuracy and generalization capacity aiming at the bottleneck problem in the combustion optimization of the porous medium combustor. Before modeling, modeling data is selected according to uniform distribution and number equalization in topological structure, and proper preprocessing is performed, so that prediction capacity and generalization capacity of a model are guaranteed; combustion characteristic models of the porous medium combustor are established by applying a support vector machine and a radial machine neural network aiming at different fuels respectively; the support vector machine and the radial machine neural network model are integrated by applying a weighted average method to form a combustion optimization characteristic model of the porous medium combustor, wherein a weighting coefficient is obtained through a particle swarm optimization algorithm; and finally, the combustion optimization models of different fuels are combined to form an integral model. By using the method, the combustion optimization characteristic model of the porous medium combustor, which has higher accuracy and generalization capacity, can be established.

Description

technical field [0001] The invention belongs to the technical field of information control and relates to pattern recognition and regression technology, in particular to a modeling method for combustion optimization of a porous medium burner. Background technique [0002] The combustion optimization method of the porous media burner is an important technical means for energy saving and emission reduction. Its goal is to obtain high efficiency and low pollution emission by adjusting the operating parameters of the porous media burner such as air distribution and gas supply under certain load conditions. Operating status. The combination of operating parameters such as air distribution and gas supply of the porous media burner has a direct impact on the combustion state of the porous media burner. Different configurations of operating parameters such as air distribution, gas supply and oxygen amount will directly lead to different combustion efficiencies and emissions of poll...

AI Technical Summary

Problems solved by technology

[0003] In practice, the combustion optimization of the porous media burner mainly depends on the staff to explore and debug. This method is time-consuming, laborious and has limited effect. It often only maintains the combustion of the porous media burner. Therefore, there are still large differences in the parameter configuration in actual operation. Room for improvement

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