Research of steel plate temperature prediction based on the improved PSO-ANN algorithm for Roller Hearth Normalizing Furnace

摘要

In this paper, mathematical model for heat treatment is constructed according to the process requirement of Roller-hearth Normalizing Furnace. Based on the intelligent control theory of neural network and particle swarm algorithms, the improved PSO-ANN model is established and simulated using lots of data acquired from the site. The result indicates the improved PSO-ANN model can raise the precision of plate temperature, predicated speed, and precision of control. It is proved that this model has good application future.