冷连轧过程控制及模型设定系统的研究与应用

发布时间：2018-06-20 18:33

  本文选题：冷连轧 + 过程控制　； 参考：《东北大学》2014年博士论文

【摘要】：过程控制系统是冷连轧计算机控制系统的重要组成部分,是保证冷轧带钢产品质量和生产效率的主要控制手段。本文以某冷轧薄板科技有限公司1450mm五机架冷连轧机组的建设项目为背景,对冷连轧过程控制系统的结构框架及功能、冷连轧在线数学模型、数学模型的优化算法和轧制规程的制定等内容进行了研究,开发了冷连轧过程控制系统程序并将其应用于冷连轧现场,取得了良好的应用效果。本文的主要研究内容如下：(1)开发了冷连轧过程控制系统。结合冷连轧具体控制和工艺要求,设计了过程控制系统的框架结构、数据流程和触发逻辑,开发了过程控制系统的数据通讯、数据管理、钢卷跟踪、模型设定及模型自适应等功能模块。(2)基于数值积分的思想,建立了带钢塑性变形的微单元离散模型。通过对变形区微单元的力学分析,推导了轧制应力分布的数值计算公式,并通过对变形区各微单元积分求和的方式建立了轧制力、轧制力矩及轧制功率等参数的计算公式。针对轧制力和轧辊压扁半径的耦合现象,给出了轧制力能参数在线模型的计算流程和迭代算法,分析了变形区的压力分布,并验证了模型的准确性。为提高在线模型的预报精度,开发了一种基于现场测试的电机机械功率损耗和轧机弹跳在线计算模型,并根据现场实际测试数据,回归得到了电机机械功率损耗和轧机弹跳模型中的系数。(3)针对模型自适应指数平滑算法中难以用固定增益系数适应轧制状况变化的问题,提出了一种根据实测数据动态调整增益系数的方法,并应用于轧制力、功率、辊缝设定和前滑等模型的自适应算法中。为提高轧制力模型的预报精度,提出了种基于同标函数的轧制力模型参数寻优方法,该方法通过建立轧制力模型参数自适应目标函数,以变形抗力和摩擦系数模型中的自适应系数作为寻优参数,采削优化算法对目标函数进行求解从而可获得满足轧制力精度的模型自适应系数。(4)基于产量最大化、产品质量最优等目标,设计了一种新的轧制规程多目标优化算法,通过在目标函数中引入函数惩罚项,将多目标函数约束求解问题转化为无约束求解问题。在建立轧制力、板形、电机功率、压下率、张力等单目标函数的基础上,建立了基于罚函数的综合多目标函数,并采用单纯形算法进行求解得到最优解,即各中间机架的厚度和张力值。基于多目标的优化算法,使轧制规程的制定摆脱了对冷轧负荷分配经验值的依赖。(5)根据现场实测数据,分析了过程控制系统中关键工艺模型和轧制规程优化策略的在线使用效果,对控制系统的效果作出了有说服力的评价。本文的研究内容,面向冷连轧过程在线控制,具有很强的实用性。目前,已将开发的冷连轧过程控制与模型设定系统成功应用于某1450mm冷连轧生产线,这对于开发我国具有自主知识产权的冷连轧过程控制系统具有重要意义。
[Abstract]:The process control system is an important part of the cold rolling mill computer control system. It is the main control means to ensure the quality and production efficiency of the cold rolled strip. In this paper, the structure and function of the cold rolling process control system are cooled on the background of the construction project of the cold rolling mill of a cold rolled sheet technology limited company 1450mm five stand cold rolling mill. The on-line mathematical model of continuous rolling, the optimization algorithm of mathematical model and the formulation of rolling regulations have been studied. The program of the control system of cold continuous rolling process is developed and applied to the cold continuous rolling field. The main research contents of this paper are as follows: (1) the control system of cold continuous rolling process is developed and combined with cold continuous rolling. Specific control and process requirements, the framework of the process control system, data flow and trigger logic are designed, and data communication, data management, steel coil tracking, model setting and model adaptive modules are developed. (2) based on the idea of numerical integration, a discrete element model with steel plastic deformation is established. Through the mechanical analysis of the microelement in the deformation zone, the numerical calculation formula of the rolling stress distribution is derived, and the calculation formulas of rolling force, rolling torque and rolling power are established by the method of calculating the integral of each microelement in the deformation zone. The rolling force and the roll squash radius are coupled to give the rolling force energy parameters. The calculation flow and iterative algorithm of the line model are used to analyze the pressure distribution in the deformation zone and verify the accuracy of the model. In order to improve the prediction accuracy of the on-line model, an on-line calculation model of motor power loss and rolling mill jumping is developed based on the field test, and the motor machinery is regressed according to the actual test data on the spot. The coefficients in the power loss and the rolling mill jump model. (3) a method of dynamically adjusting the gain coefficient according to the measured data is proposed to adapt to the change of the rolling condition in the adaptive exponential smoothing algorithm of the model adaptive exponential smoothing algorithm. The method is applied to the adaptive algorithm of rolling force, work rate, roll gap setting and forward slip model. In order to improve the prediction accuracy of the rolling force model, a method of optimizing the parameters of rolling force model based on the same standard function is proposed. By establishing the adaptive target function of the parameters of the rolling force model, the adaptive coefficient in the model of deformation resistance and friction coefficient is used as the optimization parameter, and the optimization algorithm of mining is used to solve the target function. The model adaptive coefficient can be obtained to satisfy the rolling force precision. (4) a new multi-objective optimization algorithm for rolling regulation is designed based on the maximization of production and the best product quality. By introducing the function penalty item in the objective function, the multi objective function constraint solving question is transformed into unconstrained solution problem. The rolling force and plate are established. On the basis of the single objective function such as shape, motor power, compression rate and tension, a comprehensive multi-objective function based on penalty function is established, and the optimal solution is obtained by simplex algorithm, that is, the thickness and tension value of each intermediate frame. Based on the multi-objective optimization algorithm, the rolling regulation is made out of the experience value of the cold rolling load distribution. (5) according to the field measured data, the online use effect of the key process model and the rolling regulation optimization strategy in the process control system is analyzed. The effect of the control system is persuasively evaluated. The research content of this paper is oriented to the cold continuous rolling process on-line control, which is very practical. At present, the cold connection has been developed. Set the system successfully applied to the production line of a 1450mm cold rolling process control and model, which has important significance for the development of cold rolling process in China with independent intellectual property rights of the control system.
【学位授予单位】：东北大学
【学位级别】：博士
【学位授予年份】：2014
【分类号】：TG335.12
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本文编号：2045290