Abstract:

To deal with the problem of the strong non-linearity and large time delay in the coking process, the neural network prediction model for coke quality and coke yield，energy consumption of coke oven and the optimal control model with coke quality as constraint, coke yield and energy consumption as objective function were established based on principal components analysis and grey relational analysis of the process parameters. An integrated optimal control method, which combined fuzzy C-means clustering to realize coarse optimization and combined differential evolution to realize fine optimization, was proposed to optimize the process parameters and provide guidance for operation optimization. The simulation results showed that the method was efficient in restricting the fluctuation of operating conditions to achieve the production target of high coke yield and good coke quality at low energy consumption. It provided a new idea for the modeling and optimization control of complex industrial processes.