【作者】 刘军；

【导师】 何大阔；

【作者基本信息】 东北大学 ， 控制理论与控制工程， 2012， 硕士

【摘要】 在工业生产中,当工况发生变化时,原有的过程模型在新工况下将失去其预测性能。直接重新建模不仅耗费人力、物力、财力,而且建模时间长,并导致在此期间生产过程的预测与优化控制难以进行,模型移植理论是解决这一问题的有效方法。带钢热镀锌是带钢防止腐蚀的一种重要方法,与此同时,按照市场需求进行精确控制锌层厚度对提高带钢产品质量,降低生产成本具有重要意义。研究热镀锌生产过程锌层厚度建模与校正问题具有重要的理论与实际意义。本文首先介绍热镀锌生产过程的工艺流程,并通过对热镀锌过程的深入分析,利用反应动力学、力学等理论建立了热镀锌过程机理模型。利用机理模型模拟实际热镀锌生产过程,产生生产数据用于建模与校正仿真研究。本文针对实际热镀锌过程中对工况影响较大的重要工艺参数即元素硅、碳、铝的含量变化展开研究,鉴于元素硅、碳、铝的含量变化的相似性特点,提出基于模型移植技术的热镀锌过程建模与校正思想。然后,对模型移植的可行性、相似性分类及几种典型相似性移植策略进行简要介绍。在此基础上,针对单一工艺参数的变化,定义了热镀锌过程的家族相似性并设计移植策略,分别建立了新工况下的静态和动态预测模型并通过仿真实验验证了方法的有效性。针对多个工艺参数的变化,定义了热镀锌过程的包含相似性并设计移植策略,并将集成训练算法应用于建模过程中,仿真结果验证了方法的有效性。最后,本文对上述模型移植方法的在线应用问题进行研究,在定义了条件属性的基础上,提出基于案例的多模型在线建模与校正方法,仿真结果验证了方法的有效性。更多还原

【Abstract】 In the industrial production, the original process model built on one particular process becomes invalid when working conditions change. Model reconstruction is not only needs human, material consumption, financial resources, but also takes a long time, which will lead to prediction and optimization control of the production process difficult to conduct during this period. Model migration is an effective way to solve this problem. Galvanizing is a kind of important methods for anti-corrosion, meanwhile, control coating weight of galvanized steel sheet precisely based on market demands is significance for improving the quality of products and reducing production costs, researching on the issue of galvanizing process modeling and model tuning has theoretical and practical significance.This paper first introduces the technological process of galvanizing and then establishes a mechanism model for galvanizing process by going into galvanizing process and studying kinetics of reaction> mechanics and so on. Make use of mechanism model to simulate practical galvanizing process and produce production data which is used to modeling and simulation study for model tuning. Study on galvanizing according to the important process parameters such as silicon, carbon and aluminum content change which have significant impact on actual galvanizing process. For the content change of silicon, carbon and aluminum has characteristic of similarity, propose the idea of modeling and model tuning for practical galvanizing process base on model migration technology. Then the feasibility of model migration, the types of process similarity and migration strategy based on several typical kinds of process similarity are briefly introduced. On that basis, for the change of a single process parameter, the family similarity is defined and the appropriate strategy is designed to develop static and dynamic predicting model of galvanizing process, simulation results verify the effectiveness of the method. For the changes of multiple process parameters, the inclusive similarity in galvanizing process is defined, and develops new models based on integrated training algorithm. Simulation results verify the effectiveness of the method. Finally, aim at model migration that discussed above, online application of model migration is studied. On the base of defining condition attributes, propose online modeling and model tuning of multiple model on account of case. Simulation results verify the effectiveness of the method.更多还原