Research on Intelligent Control of Secondary Cooling of Continuous Casting
CHEN Zhiling1,ZHANG Guoxian1,HAN Chuanji2
1. School of Electromechanical Engineering and Automation, Shanghai University, Shanghai 200072, China;2. School of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, Beijing 100083, China
Abstract:Based on numerical calculation of strand temperature field, using variable aim temperature with metallurgical restrictions and variable initial water flow rate, the unsteadiness and large difference between calculated and actual water flow rate of secondary cooling control can be solved. Using the ability of approaching function and selflearning of neural networks, the models of target temperature control (TTANN) and initial water flow rate control (IWANN) were set up. AI PID controller was designed. Then the dynamic control system of secondary cooling in continuous casting was developed. The system is composed of two models, controller and temperature calculation model. The results of simulation test show that the error of bloom surface temperature is less than 12 ℃.
陈志凌;张国贤;韩传基. 连铸二次冷却智能优化控制的研究[J]. 钢铁, 2006, 41(9): 0-40.
CHEN Zhiling;ZHANG Guoxian;HAN Chuanji. Research on Intelligent Control of Secondary Cooling of Continuous Casting. Iron and Steel, 2006, 41(9): 0-40.