Research On The Intelligent Temperature Control Based On ANFIS For Reheating Furnace In Rolling Steel Line

The reheating furnace in rolling steel line is an indispensable equipment in steel production process. It’s main function is to heat billet evenly according to the rhythm of production, and make the billet surface temperature and internal temperature distribution to comply with the temperature requirements of rolling process. In order to solve the problems efficiently in the combustion process of reheating furnace such as the high consumption of energy, the serious oxidation burning loss, the big fluctuation of billet temperature, the poor delicacy of the temperature control, etc.,this paper proposes an intelligent optimal control system of the combustion process of reheating furnace.Aiming at the heating furnace with double cross limiting control in rolling steel line, an intelligent temperature controller based on adaptive neuro-fuzzy inference system(ANFIS) is designed in this paper for the reheating furnace, which constitutes the cascade control system of temperature and flow with an improved double cross limited control. The system overcomes the difficulty on establishing fuzzy rules,enhances adaptive ability of fuzzy controller, and avoids the defect of traditional neural networks, that is, the traditional neural networks often easily immerse in local minimum value. A design method of the intelligent temperature controller based on ANFIS is provided. The mathematical model of the heating furnace system is established in this paper. The simulation experiments of the intelligent controller are carried out by using MATLAB/Simulink. The simulation results show that the system has good adaptive ability and control performance.