摘要
在冶炼低碳铬铁过程中,终点碳含量和温度控制是整个吹炼工艺的核心,以氩氧精炼低碳铬铁生产过程为具体研究对象,在建立生产过程数学模型的基础上,采用推理控制策略,调整底吹氧气流量,动态控制冶炼过程铁水温度和碳含量,特别是终点温度及碳含量,改善底吹冶炼效果;仿真结果表明,在所有模型准确的情况下,无论是在不可测阶跃信号扰动的作用下,还是系统给定阶跃信号作用下,在控制铁水碳含量的暂态性能和稳态性能方面推理控制都比PI调节器优越得多,在控制铁水温度方面两种算法各有优缺,当模型不够准确时,推理反馈控制可以消除稳态偏差。
In the refining low-carbon ferrochrome process,the control of endpoint carbon content and temperature is the core of the whole refining process.the argon-oxygen refining low-carbon ferrochrome process is the research object.establish production process mathematical model.use inference control strategy,adjust bottom blowing oxygen flow.dynamically control the temperature and carbon content of molten iron,especially end-point temperature and carbon content.improve bottom blowing refining effect.the simulation results show：if all models are accurate,whether under the action of uncertain step signal disturbance or under the action of given step signal,control carbon content in the molten iron,in the transient performance and steady state performance,inference control is Is superior than PI, control the temperature in the molten iron,in the transient performance and steady state performance,Two kinds of algorithm have advantages and disadvantages,if all models are not accurate,inference feedback control can eliminate steady state deviation.
出处
《计算机测量与控制》
北大核心
2013年第12期3275-3277,共3页
Computer Measurement &Control
基金
国家科技支撑计划项目(2007BAE17B01)
关键词
氩氧精炼法
推理控制
低碳铬铁
终点控制
argon-oxygen refining
inference control
low-carbon ferrochrome
end-point control
