Study Of High Temperature Rotary Annealing Furnace Control Methods

The oriented silicon steel is known as the art of steel industry, which has high technical content and complex process. High temperature rotary annealing furnace (SRAF) is oriented as a very important link in silicon steel production process, in which the annealing furnace energy consumption has a big margin. How to improve the automatic control level of the annealing furnace, improve annealing furnace thermal efficiency, reduce energy consumption, the annealing furnace technical reform and energy saving is a far-reaching work.Annealing furnace is the important cold-rolled steel heat treatment thermal equipment, it directly affect the quality of products and the production as well as cost, playing a critical role in production. Research of anneal furnace temperature control system has a great significance in improving product quality, boosting productivity, improving environment and reducing the consumption of energy. General proportional control to ensure the air-fuel ratio combustion control, however, air regulation is always lagging behind the regulation of fuel when the system disturbance. So the air-fuel ratio in the adjustment process may be too high or too low, which can not meet under normal circumstances process requirements. The dual cross limiting control overcomes the limitations of the proportional control mode, to makes the air-fuel ratio maintain in the best combustion zone.Based on the study of the distributed control system, and Shougang cold rolling rotary furnace as the background, the article introduces the structure, process principle and automation systems of rotary furnace briefly, and summarizes the control technology development and current situation of rotary furnace at home and aboard. The control functions of the control system, such as temperature control, flow control, furnace pressure control and spin control are analyzed in detail. Meanwhile, makes further research on the double cross amplitude limit control principle, and have analysis and optimal design on the combustion control to realize energy conservation and emission reduction. Simulation results of the dynamic model are validated by using Simulink Box of the MATLAB software.