板带连轧机半物理仿真平台系统建模与集成
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摘要
为提高我国冷轧板带生产技术在国际上的竞争力，在满足经济发展过程中，包装、制造行业对高质量冷轧板带需求的同时，建造具有自主知识产权的冷连轧生产线，实现冷轧过程的现代化、自主化是国内轧钢人共同追求的目标。
板形、板厚精度是衡量板带材质量的重要标准。轧机系统作为一个复杂的多变量、非线性、强耦合系统，其动态调整过程，各参数的变化均对目标板形、板厚质量产生影响。然而，国内对轧机系统的研究，往往只偏重于单项、局部或其静态特性分析，没有针对轧机大系统，建立其机、电、液一体化模型，模拟冷连轧全过程板形、板厚综合调整的研究成果。本文有基于此，在参照实用冷连轧机物理模型的基础上，抽取其机、电、液设备和控制系统数学模型，依据实用冷轧设备的物理连接情况和轧制理论的参数影响关系，构建其机、电、液一体化半物理仿真平台，实现冷连轧全过程的板形、板厚动态过程仿真。
随着计算机技术的日益成熟，各种智能优化算法的工业化应用得以实现，并不断深入到生产、生活的各个领域中。针对冷连轧领域实用的轧制规程预设定方法过于老化，无法适应新的轧制工艺和轧制新材料的需求，本文将混合智能优化算法，引入压下负荷分配过程中，在满足目标板形、板厚质量的同时，可降低设备总能耗，并充分发挥各机架在轧制变形过程中的作用。混合智能优化算法在1220mm冷连轧机上的优化结果与实用规程相比，总能耗降低20%左右。现已将此混合智能优化算法，应用到某厂1100双机架可逆式HC轧机轧制工艺参数研究系统中。
以实用1420mm五机架冷连轧机的厚度调整过程为参考，在simulink仿真平台中，建立其机、电、液一体化动态过程仿真模型，模拟粗轧阶段，用扩展物流AGC的方式进行厚度增量控制；精轧阶段，用AGC的控制方式A实现厚度动态调整。从平台运行的过程参数仿真曲线来看，与解析模型计算结果的规律相符，此模型可被用来实现冷连轧厚度调整过程的动态仿真。
影响函数法是板形分析过程中常用的手段，本文采用影响函数法，建立宽板轧机的板形在线数据库，并依靠神经网络的函数逼近功能，构造板形在线模型，并建立相应的神经网络在线控制器。同时，依照现有的板形、板厚解析关系模型，给出其综合控制中的增量调整模型，并在虚拟轧机半物理仿真平台中，实现板形、板厚综合调整的动态过程仿真。平台运行的过程参数仿真曲线与解析模型的计算结果规律一致，表明此平台可被用来实现冷连轧板形、板厚综合调整过程的动态仿真。
在300mm单机架四辊轧机上，对虚拟轧机系统建模所用的轧机刚度数值模型，板形、板厚综合调整模型、液压AGC的动态调整模型和主电机转速模型，进行了实验验证，实验数据与仿真结果基本相符，表明用此类模型建立的虚拟轧机，模拟工业现场的冷轧过程是有效的。
To improve our cold-rolled strip production technology in internationalcompetitiveness, the construction of proprietary modern automatic cold tandem mill,which can also meet the need of packaging and manufacturing industry during economicdeveloping, is the common goal of domestic steel rolling industry.
Shape and thickness accuracy is the important standard of the strip’s quality. Rollingmill system as a complex multivariate, nonlinear and close coupling system, its dynamicadjustment process and the change of the parameters all have some influences on thequality of the target shape and thickness. However, the research of domestic mill system,often confines to individual, local or static characteristics analysis. We don’t have theideal research results about the shape and thickness’comprehensive adjustment during thecold rolling process. This paper is based on this point. It discuss that in the light of thepractical application of cold rolling mill physical model, selecting the mechanical,electrical, hydraulic equipment and control system mathematical model, according to therelationship between the physical connection of practical situation cold rolling equipmentand the parameters of rolling theory, how to construct the mechanical, electrical, hydraulicintegration semi-physical simulation platform of cold rolling mill ,than achieve the shapeand thickness dynamic process simulation of the whole process of cold rolling.
With increasingly matures computer technology, a variety of industrial application ofintelligent optimization algorithms can be realized and continue deep into the productionand in all areas of life. In cold tandem rolling field, the practical rolling schedule isbehindhand, and can not adapt to the new rolling technology and new materials rollingdemand. This paper expounds that if we apply the hybrid intelligent optimizationalgorithms to rolling schedule, while ensuring the quality of the target shape and thickness,the total energy consumption will be reduced and all the rolling racks will give full play totheir roles during the deformation process. Comparing the optimization results of thehybrid intelligent optimization algorithm in 1220 mm cold tandem mill to practicalprocedures, the total energy consumption reduces by 20% or so. Now this hybridintelligence optimization algorithm has already been applied to a factory in 1100 two-stand reversing HC rolling mill’s rolling technology parameters research system.
In the light of the adjustment process of the practical 1420 mm five-stand coldtandem mill’s thickness, a mechanical, electrical, hydraulic integration simulation modelis set up in simulink. When the roughing is being simulated, it controls the incrementalthickness by the expansion logistics of AGC; when the finishing is being simulated, itarchives the thickness` dynamic adjustment with the A of AGC. Simulation resultsconform to the law of the analytical model’s calculated results, so this platform can beused to simulate the process of cold tandem rolling.
Influence function is used to the shape analysis. In this paper, influence functionmethod is used to set up the online shape database. By neural network’s approximationfunction, the shape online model is set up. Meanwhile, in accordance with shape andthickness relation, by the given increase adjustment relationship of comprehensive control,then a online neural network controller is established in the simulink simulation platform,so that the dynamic process simulation of the shape and thickness’s comprehensiveadjustment can be achieved. The simulation results are consistent with the calculationresults, the platform can be used to simulate the comprehensive adjustment process of thecold tandem roling’s shape and thickness.
We validated the model of rolling rigidity, the model of synthesize adjustment ofshape and thickness, the model of hydraulic servo system and the model of drive motor’sspeed in 300mm rolling mill. The experimental results conform to simulation results, itshowed that the virtual rolling mill which is established by these model can be used tosimulate cold tandem rolling process.
板形、板厚精度是衡量板带材质量的重要标准。轧机系统作为一个复杂的多变量、非线性、强耦合系统，其动态调整过程，各参数的变化均对目标板形、板厚质量产生影响。然而，国内对轧机系统的研究，往往只偏重于单项、局部或其静态特性分析，没有针对轧机大系统，建立其机、电、液一体化模型，模拟冷连轧全过程板形、板厚综合调整的研究成果。本文有基于此，在参照实用冷连轧机物理模型的基础上，抽取其机、电、液设备和控制系统数学模型，依据实用冷轧设备的物理连接情况和轧制理论的参数影响关系，构建其机、电、液一体化半物理仿真平台，实现冷连轧全过程的板形、板厚动态过程仿真。
随着计算机技术的日益成熟，各种智能优化算法的工业化应用得以实现，并不断深入到生产、生活的各个领域中。针对冷连轧领域实用的轧制规程预设定方法过于老化，无法适应新的轧制工艺和轧制新材料的需求，本文将混合智能优化算法，引入压下负荷分配过程中，在满足目标板形、板厚质量的同时，可降低设备总能耗，并充分发挥各机架在轧制变形过程中的作用。混合智能优化算法在1220mm冷连轧机上的优化结果与实用规程相比，总能耗降低20%左右。现已将此混合智能优化算法，应用到某厂1100双机架可逆式HC轧机轧制工艺参数研究系统中。
以实用1420mm五机架冷连轧机的厚度调整过程为参考，在simulink仿真平台中，建立其机、电、液一体化动态过程仿真模型，模拟粗轧阶段，用扩展物流AGC的方式进行厚度增量控制；精轧阶段，用AGC的控制方式A实现厚度动态调整。从平台运行的过程参数仿真曲线来看，与解析模型计算结果的规律相符，此模型可被用来实现冷连轧厚度调整过程的动态仿真。
影响函数法是板形分析过程中常用的手段，本文采用影响函数法，建立宽板轧机的板形在线数据库，并依靠神经网络的函数逼近功能，构造板形在线模型，并建立相应的神经网络在线控制器。同时，依照现有的板形、板厚解析关系模型，给出其综合控制中的增量调整模型，并在虚拟轧机半物理仿真平台中，实现板形、板厚综合调整的动态过程仿真。平台运行的过程参数仿真曲线与解析模型的计算结果规律一致，表明此平台可被用来实现冷连轧板形、板厚综合调整过程的动态仿真。
在300mm单机架四辊轧机上，对虚拟轧机系统建模所用的轧机刚度数值模型，板形、板厚综合调整模型、液压AGC的动态调整模型和主电机转速模型，进行了实验验证，实验数据与仿真结果基本相符，表明用此类模型建立的虚拟轧机，模拟工业现场的冷轧过程是有效的。
To improve our cold-rolled strip production technology in internationalcompetitiveness, the construction of proprietary modern automatic cold tandem mill,which can also meet the need of packaging and manufacturing industry during economicdeveloping, is the common goal of domestic steel rolling industry.
Shape and thickness accuracy is the important standard of the strip’s quality. Rollingmill system as a complex multivariate, nonlinear and close coupling system, its dynamicadjustment process and the change of the parameters all have some influences on thequality of the target shape and thickness. However, the research of domestic mill system,often confines to individual, local or static characteristics analysis. We don’t have theideal research results about the shape and thickness’comprehensive adjustment during thecold rolling process. This paper is based on this point. It discuss that in the light of thepractical application of cold rolling mill physical model, selecting the mechanical,electrical, hydraulic equipment and control system mathematical model, according to therelationship between the physical connection of practical situation cold rolling equipmentand the parameters of rolling theory, how to construct the mechanical, electrical, hydraulicintegration semi-physical simulation platform of cold rolling mill ,than achieve the shapeand thickness dynamic process simulation of the whole process of cold rolling.
With increasingly matures computer technology, a variety of industrial application ofintelligent optimization algorithms can be realized and continue deep into the productionand in all areas of life. In cold tandem rolling field, the practical rolling schedule isbehindhand, and can not adapt to the new rolling technology and new materials rollingdemand. This paper expounds that if we apply the hybrid intelligent optimizationalgorithms to rolling schedule, while ensuring the quality of the target shape and thickness,the total energy consumption will be reduced and all the rolling racks will give full play totheir roles during the deformation process. Comparing the optimization results of thehybrid intelligent optimization algorithm in 1220 mm cold tandem mill to practicalprocedures, the total energy consumption reduces by 20% or so. Now this hybridintelligence optimization algorithm has already been applied to a factory in 1100 two-stand reversing HC rolling mill’s rolling technology parameters research system.
In the light of the adjustment process of the practical 1420 mm five-stand coldtandem mill’s thickness, a mechanical, electrical, hydraulic integration simulation modelis set up in simulink. When the roughing is being simulated, it controls the incrementalthickness by the expansion logistics of AGC; when the finishing is being simulated, itarchives the thickness` dynamic adjustment with the A of AGC. Simulation resultsconform to the law of the analytical model’s calculated results, so this platform can beused to simulate the process of cold tandem rolling.
Influence function is used to the shape analysis. In this paper, influence functionmethod is used to set up the online shape database. By neural network’s approximationfunction, the shape online model is set up. Meanwhile, in accordance with shape andthickness relation, by the given increase adjustment relationship of comprehensive control,then a online neural network controller is established in the simulink simulation platform,so that the dynamic process simulation of the shape and thickness’s comprehensiveadjustment can be achieved. The simulation results are consistent with the calculationresults, the platform can be used to simulate the comprehensive adjustment process of thecold tandem roling’s shape and thickness.
We validated the model of rolling rigidity, the model of synthesize adjustment ofshape and thickness, the model of hydraulic servo system and the model of drive motor’sspeed in 300mm rolling mill. The experimental results conform to simulation results, itshowed that the virtual rolling mill which is established by these model can be used tosimulate cold tandem rolling process.
引文
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