Neural Network-based Modeling or Boiler Combustion Control System for Power Generation

The numerous factors affecting combustion complicate the combustion process of the power generation boiler. In supervising the combustion process of the boiler, special attention needs to be paid to the characteristics of the factory and the combustion of the boiler. In the improvement of the power boiler system, it is useful to realize the automatic control and intelligent operation of the boiler. To understand the boiler factory characteristics, fuel characteristics, and other parameters and to clarify the complex coupling relationship between the parameters, an improved design of the combustion control of the boiler is required. Therefore, we established the combustion control system to realize the nonlinear identification of the combustion process of the boiler using the nonlinear learning ability of the neural network. We proposed the modeling mechanism of a power boiler combustion control system. We analyzed the working principle of the boiler combustion system and the combustion process. We tested the model by preprocessing and analyzing the combustion optimization using input and output data to optimize the system architecture design.