层流冷却的策略和控制模型

安徽工业大学毕业设计（论文）报告纸-I-安徽工业大学毕业设计(论文)任务书课题名称层流冷却的策略和控制模型学院电气信息学院专业班级电子信息工程081班姓名刘林学号089064193毕业设计（论文）的主要内容:（1）根据课题内容，查阅搜索相关文献资料，并翻译不少于5000字的相关英文文献资料。（2）了解带钢热连轧的生产工艺，理解层流冷却系统的整体架构。（3）掌握层流冷却中用到的控制模型的原理。（4）掌握层流冷却中用到的控制策略的原理。（5）对完成的工作进行总结，按格式撰写毕业设计论文，准时参加答辩。起止时间：2012年2月25日至2012年6月5日共16周指导教师签字系主任签字院长签字安徽工业大学毕业设计（论文）报告纸-II-摘要在带钢热连轧工艺中，卷取温度对带钢的金相组织影响很大，是决定成品带钢加工性能、力学性能和物理性能的重要工艺参数之一。为了保证带钢成品性能指标，同时使带钢顺利卷取并保持良好卷形，必须使带钢卷取温度控制在合理范围内。而热连轧带钢的实际卷取温度能否控制在要求的范围内,则主要取决于精轧机架后层流冷却控制系统。本文以某大型钢铁集团的带钢热连轧生产线为基础，设计了一套具有实际应用意义的层流冷却控制策略和控制模型。同时，设计并绘制了基于西门子WinCC的层流冷却控制画面。所有这些实现了对整个系统的全自动控制。模拟测试结果表明，这些控制策略和控制模型功能完善、性能稳定、控制精度高。关键字：带钢热连轧层流冷却卷取温度控制控制策略控制模型安徽工业大学毕业设计（论文）报告纸-III-AbstractBeingoneoftheimportantcraftparameters,coilingtemperaturedecidesthemachiningperformance,themechanicalperformanceandthephysicalperformanceoffinishedstripproduct,andhasinfluenceonstrip’smetallographicphase.Inordertogethigh-qualityproductandgoodcoilshape,thestripcoilingtemperaturemustbecontrolledataproperrange.Whethertheactualcoilingtemperatureofhotrollingstripcanbecontrolledwithintherequiredrangemainlydependsonthelaminarcoolingcontrolsystemafterthefinishingstands.Inthepaper,asetofcontrolstrategiesandcontrolmodelsofthelaminarcoolingcontrolsystemwithpracticalapplicationsignificanceforahotstriprollingproductionlineofalargeironandsteelenterpriseisdesigned.Atthesametime,thecontrolpicturesforlaminarcoolingaredesignedanddrawnwiththesoftwareWinCCofSiemens.Alloftheseachievetheautomaticcontrolofthewholesystem.Simulationtestresultsshowthatthecontrolstrategiesandcontrolmodelshaveperfectfunction,stableperformanceandhighcontrolaccuracy.KeyWords:stripsteelhotstriplaminarcoolingcoilingtemperaturecontrolcontrolstrategycontrolmodel安徽工业大学毕业设计（论文）报告纸-IV-目录摘要.......................................................................................................................................................IIAbstract..............................................................................................................................................III目录.....................................................................................................................................................IV1绪论..................................................................................................................................................11.1研究背景及意义....................................................................................................................11.2研究现状................................................................................................................................21.3章节安排................................................................................................................................32层流冷却系统简介.....................................................................................................................52.1层流冷却系统设备布置...........................................................................................................52.2层流冷却系统的基本结构.......................................................................................................62.3本章小结....................................................................................................................................93层流冷却的控制模型..............................................................................................................103.1温降模型..................................................................................................................................103.1.1空冷区温降模型..............................................................................................................103.1.2水冷区温降模型..............................................................................................................103.2卷取温度预报模型.................................................................................................................113.2.1传统卷取温度预报模型..................................................................................................113.2.2基于遗传神经网络的卷取温度预报模型....................................................................123.3预设定模型.............................................................................................................................163.4前馈控制模型.........................................................................................................................183.5反馈控制模型.........................................................................................................................193.6自学习模型..............................................................................................................................203.6.1短期自学习......................................................................................................................203.6.2长期自学习......................................................................................................................213.7数据库模型..............................................................................................................................223