Optimizing Control Method of Reheating Furnace Temperature in Hot Rolling Process

In order to efficiently solve such the problems in the combustion process of reheating furnace as the high consumption of energy,the poor precision and time-delay of the temperature control.etc.,an intelligent control strategy of the combustion process of reheating furnace was proposed,according to the technical characteristics of walking beam reheating furnace,namely Fuzzy-RBF networks self-learning and the optimization function,and the dynamic PID feedback compensation strategy of reheating furnace.The results show,the system not only can ensure the accuracy of the furnace temperature controlled,increases the speed of temperature adjustment and reduces the energy consumption,electricity consumption and the billet combustion loss,but also can effectively improve production capacity.