热轧带钢轧后冷却控制及其智能反馈控制方法  被引量:1

Mathematical model for hot rolled strip temperature control and its intelligent feedback control

在线阅读下载全文

作  者:刘伟嵬[1] 李海军[1] 王昭东[1] 王国栋[1] 

机构地区:[1]东北大学轧制技术及连轧自动化国家重点实验室,辽宁沈阳110004

出  处:《钢铁研究》2011年第4期20-23,共4页Research on Iron and Steel

基  金:"十一五"国家科技支撑计划项目(2006BAE03A08)

摘  要:热轧带钢轧后冷却过程中卷取温度的控制精度是保证带钢组织性能、表面质量和板形良好的1个关键因素。温度控制的核心是冷却过程控制模型的建立及其自适应反馈功能。建立了具有非线性结构特征的热轧带钢冷却过程控制的数学模型,并对新模型的智能反馈控制方法进行了研究,增强了控制模型的自适应性。现场实际应用表明:实测卷取温度与目标温度相差±5℃以内的带钢占全长的85%,相差±10℃以内的带钢占全长的98%,该冷却数学模型的卷取温度控制能达到较高的精度,为提高产品质量奠定了基础。Control precision of coiling temperature is one of the key factors affecting strip structure property,quality and shape during the cooling process of hot rolled strip.The core of temperature control is the establishment of cooling process control mathematical model and its adaptive feed-back control function.A cooling mathematical model with nonlinear structural characteristics for the cooling process of hot rolled strip was constructed.The adaptive capability of the model was greatly improved through the research of intelligent feedback control approach.The application results showed that the strip length with temperature difference(between measured coiling temperature and aimed temperature) within 5 ℃ amounts to 85 % of the whole length,whereas the strip length with the temperature difference within ±10 ℃ amounts to 98 %.Stable performance and high control precision of the mathematical model were proved by the in-situ application.Consequently,this model will lay a solid foundation for improving product quality.

关 键 词:冷却过程 卷取温度 智能控制 反馈补偿 热轧带钢 

分 类 号:TG335.5[金属学及工艺—金属压力加工]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象