Title :
Research of steel plate temperature prediction based on the improved PSO-ANN algorithm for Roller hearth normalizing furnace
Author :
Li, Jing ; Wang, Jing
Author_Institution :
Eng. Res. Inst., Univ. of Sci. & Technol. Beijing, Beijing, China
Abstract :
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.
Keywords :
furnaces; neural nets; normalising; particle swarm optimisation; steel; temperature control; Roller hearth normalizing furnace; heat treatment; improved PSO-ANN algorithm; intelligent control; neural network; particle swarm algorithms; steel plate temperature prediction; Artificial neural networks; Furnaces; Mathematical model; Particle swarm optimization; Predictive models; Steel; Training; Roller-hearth normalizing furnace; neural network; particle swarm optimizer algorithm; steel plate temperature prediction;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-6712-9
DOI :
10.1109/WCICA.2010.5554698
