热轧带钢层流冷却自动控制系统开发与应用

结合现场情况介绍了热轧带钢层流冷却自动控制系统的设备及硬件配置,并从过程自动化和基础自动化两个方面介绍了该系统的功能和数学模型,其中数学模型主要包括空冷模型、水冷模型、自学习模型和前馈控制模型以及反馈控制模型。现场实际应用表明,带钢全长的95.93%的卷取温度可控制在目标值的±15 ℃之内。     

热轧带钢层流冷却的控制策略及其应用

阐述了热轧带钢层流冷却常用的7个控制策略，即前馈控制、反馈控制、自适应控制、带钢头尾冷却控制、带钢边部冷却控制和对带钢厚度的适应性冷却控制以及对升速轧制的适应性冷却控制的内容及其发展，同时还简单地介绍了这些控制策略在国内某些热轧板厂的实际应用情况。     

热轧带钢层流冷却水处理系统流程探讨

作者通过对国内外热轧带钢厂层流冷却水处理系统的研究、比较、分析，并根据自己的设计经验，就层流冷却水处理系统水量平衡、水质一稳定、工艺流程及节能措施提出了自己的看法。     

热轧带钢层流冷却系统的设计

本钢１７００ｍｍ热轧带钢层流冷却系统采用的是带钢管层流冷却和高压喷嘴冷却相结合的方式。介绍了此系统的设计过程及总用水量和上喷、下喷和侧喷水量的计算。     

热轧带钢层流冷却系统优化

研究了莱钢1 500 mm热轧带钢生产线控冷系统存在的问题.对层流冷却设备和控制模型进行优化,改善了带钢表面存在斑点、花纹颜色不均等质量问题;提高了模型设定的准确性和灵活性,为新产品的开发奠定了坚实基础.     

热轧带钢层流冷却实时报表系统实现

对热轧带钢层流冷却实时报表系统的系统构成、系统数据的自动采集、自动存储及实时报表实现进行了详细描述.实时报表系统为模型及时改进、质量实时监督、故障及时排除及新钢种冷却工艺应用提供了可靠的数据基础.     

热轧带钢层流冷却控制系统

为了提高莱钢1500mm热连轧卷取温度的控制精度,对原基础自动化控制系统进行改造,增加了带Smith预估器的反馈控制和轧机抛钢后的冷却水前馈控制;同时增加了过程自动化控制系统,包括预设定计算、修正设定计算和自学习计算模块。系统改造后,带钢卷取温度控制不稳定的现象基本消除,实现了带钢的冷却模式、卷取温度和冷却速率的精确控制,提高了带钢的质量。     

热轧带钢层流冷却控制技术的创新

剖析了传统热轧带钢冷却系统存在的冷却效果差、卷取温度不可控等问题。以国内最近投运的两条热轧线的实际经验为前提,阐述了一些新的控制技术。     

1780mm热连轧机带钢层流冷却自动控制系统开发及应用

层流冷却是控制带钢卷取温度的最重要手段。为了满足宁波钢铁有限公司1 780 mm热连轧机薄板生产线层流冷却工艺的控制要求,采用了由基础自动化控制系统和过程控制系统组成的两级计算机控制系统。介绍了层流冷却系统设备及自动控制系统结构。重点阐述了层流冷却基础自动化系统主要功能,包括层流冷却区域内带钢微跟踪、步序控制、卷取温度反馈控制以及速度前馈控制。运行结果表明,系统控制精度、响应速度均满足工艺要求。自系统投入运行以来,工作稳定,控制效果较好。     

Optimization and Model of Laminar Cooling Control System for Hot Strip Mills

The microstructure and mechanical propertiesof hot rolled strips are determined by the tempera-ture drop fromthe exit of finishing stand to the coi-ler .Laminar coolingis an effective way to make theproducts with ideal microstructure and mechanicalproperties and the coiling temperature must be con-trolled properly[1 -4]. The traditional models cannot meet the require-ment for high precision of coiling temperature . Theai m of present work was to develop a newlaminarcooling system with satisfac…     

层流冷却的前馈控制

为提高热轧带钢层流冷却卷取目标温度的控制精度,根据冷却过程的传热机理,分析了带钢层流冷却的传热过程.在此基础上,给出了冷却控制的空冷和水冷预测数学模型,分析并阐述了层流冷却控制系统的前馈控制算法及其在实际控制中的应用.本前馈控制的使用效果良好,具有较高的目标卷取温度控制精度,能满足生产的需要.     

Self-Learning and Its Application to Laminar Cooling Model of Hot Rolled Strip

The mathematical model for online controlling hot rolled steel cooling on run-out table （ROT for abbreviation） was analyzed, and water cooling is found to be the main cooling mode for hot rolled steel. The calculation of the drop in strip temperature by both water cooling and air cooling is summed up to obtain the change of heat transfer coefficient. It is found that the learning coefficient of heat transfer coefficient is the kernel coefficient of coiler temperature control （CTC） model tuning. To decrease the deviation between the calculated steel temperature and the measured one at coiler entrance, a laminar cooling control self-learning strategy is used. Using the data acquired in the field, the results of the self-learning model used in the field were analyzed. The analyzed results show that the self-learning function is effective.     

Hot Strip Laminar Cooling Control Model

The control model of laminar cooling system for hot strip, including air-cooling model, water-cooling model, temperature distribution model along thickness direction, feedforward control model, feedback control model and self-learning model, was introduced. PID arithmetic and Smith predictor controller were applied to feedback control. The sample of model parameter classification was given. The calculation process was shown by flow chart. The model has been proved to be simple, effective and of high precision.     

热轧带钢层流冷却温度控制模型的应用分析

 工业大学金属材料与加工重点实验室, 安徽 马鞍山 243002) 摘要：在带钢热轧后的冷却过程中，热轧带钢卷取温度的数学模型是至关重要的。介绍了某热轧带钢厂的卷取温度控制数学模型，针对传统的热轧带钢层流冷却卷曲温度控制中数学模型的固有缺陷，分别采用了差分方程和有限元数值模拟的方法，建立带钢厚度方向上的温度场。对测得的数据进行了分析，结果表明：在考虑带钢与介质的热交换的同时再考虑带钢内部的热传导大大提高模型的预报精度，为定量地描述计算值与实测值之间的偏差提供了依据。     

Algorithm Design and Application of Laminar Cooling Feedback Control in Hot Strip Mill

 Abstract： Feedback control is one of the most important ways to improve coiling temperature control precision during laminar cooling process. Laminar cooling equipments of a hot strip mill and structure of the control system were introduced. Feedback control algorithm based on PI controller and that based on Smith predictor were designed and tested in a hot strip mill respectively. Practical application shows that the feedback control system based on PI controller plays a limited role in improving coiling temperature control precision. The feedback control system based on Smith predictor runs stable and reliable. When the measured coiling temperature deviates from the target value, it can be adjusted to the required range quickly and steadily by Smith predictor feedback control, which improves the coiling temperature control precision greatly, and qualities of hot rolled strips are improved significantly.     

热轧带钢层流冷却过程的温度预测模型

 通过分析热轧带钢在层流冷却过程中的能量变化,利用焓法模型建立了热轧带钢通过层流冷却段的能量平衡方程。然后利用相变热力学和相变动力学模型得到热焓,最后采用有限差分求解能量平衡方程,得到层流冷却过程中带钢的温度场和热焓场,该模型的计算结果与实测值符合良好,能够准确地预测带钢冷却后的温度分布,同时明确了冷却过程实际上是带钢能量传递给周围环境的过程,并非温度不断下降的过程。     

Element Tracking Strategies for Hot Strip Laminar Cooling Control

Coilingtemperaturecontrolinhotstripmill playsaveryimportantroleindeterminingtheme chanicalpropertiesofthefinishedproduct[1].The earlypracticeofrunouttablecoolinginvolvedpre settingthewaterjetflowratebasedonexperience.Thisexperientialapproachwassufficientf…