Intelligent control method for the laminar cooling process of hot rolled strip

In order to enhance the quality and yield of strip, the laminar cooling technique is used to improve the metallurgical properties of the hot rolled strips by water-cooling after rolling in modern iron and steel industry. The coiling temperature is one of the important factors that determine the processing properties and mechanics properties of the strip product, and the too high or too low coiling temperature will downgrade the final strip product quality. The existing control methods based on looking up tables and strip temperature models can't adapt the changing operation condition and lead to low control accuracy. A hybrid intelligent control method for laminar cooling process is developed and is simulated in an existing distributed experimental platform. Contrasting with the existing control method, the simulation results show that the hit rate increased from 42.9% to 84.1% where the coiling temperature errors are controlled in the range of ±10°C, and the root mean square of the error decreases from 21.1°C to 8.21°C.