Review on control model of reheating furnace in hot rolling line

Mathematical models for temperature control of heating furnace are summarized based on the research results on control model and optimization of furnace in latest 30 years in this paper. Some models are mainly illustrated in detail, such as Multiple regression model, prediction model, dynamic model, thermal balance model, recurrent neural network model, Combustion Process model based on immune clone evaluation algorithm and temperature optimization model based on hybrid particle swarm optimization, etc. The advantages and disadvantages of various control models are analyzed. Meanwhile development trends of control model research of furnace are provided.