基于伺服飞剪系统精度的模糊控制研究
发布时间：2018-08-24 10:26
【摘要】：我国是一个工业大国，拥有武钢、首钢、宝钢等大型钢铁生产基地，虽然我国保持着较高的钢铁生产产量，但在钢材质量生产方面，距离世界强国却有不小的差距。制约我国钢铁行业向前发展的主要原因是我国钢铁设备普遍老化，自动化程度不高。 在高速轧钢生产中，其中一个重要的环节就是对线材头尾进行精加工环节即飞剪剪切环节。 本文设计了一种新型的飞剪智能控制系统。该系统对飞剪系统进行了优化并且应用了最新的模糊控制理论，并结合上最新的西门子PLC产品，能够有效的提升飞剪生产线的剪切精度。相比复杂的设备改造，该系统仅仅通过PLC编程就可以实现模糊控制，改造成本低，最后达到的控制效果满足实际生产需求。 本文结合武汉钢铁集团公司紧凑式带钢生产线改造的实际情况，，对于飞剪剪刃的定位原理进行了分析，对直交流调速的优缺点进行了比较，对于交流调速装置和控制方法进行了解析。给出了优化的抛物线停车曲线与对阶梯型位置环改造的方案。并且采用新的智能控制算法提高了系统精度。硬件部分用西门子400系列PLC得以实现，软件在STEP7环境中得以实现。
[Abstract]:China is a large industrial country with large steel production bases such as WISCO, Shougang and Baosteel. Although our country maintains high steel production output, there is not a small gap between China and the world powers in the production of steel quality. The main reason of restricting the development of iron and steel industry in China is that the iron and steel equipment in our country is aging and the automation degree is not high. In the production of high-speed steel rolling, one of the important links is to finish the wire head and tail, that is, flying shear and shearing. A new intelligent control system for flying shear is designed in this paper. The system optimizes the flying shear system and applies the latest fuzzy control theory, combined with the latest Siemens PLC products, which can effectively improve the shear accuracy of the flying shear production line. Compared with the complex equipment transformation, the system can realize fuzzy control only by PLC programming, and the cost is low, and the final control effect can meet the actual production requirements. Combined with the actual situation of the transformation of compact strip production line in Wuhan Iron and Steel Group Company, the positioning principle of flying shear blade is analyzed, and the advantages and disadvantages of direct AC speed regulation are compared. The AC speed regulating device and control method are analyzed. The optimized parabola parking curve and the reconstruction scheme of step position ring are given. And the new intelligent control algorithm is used to improve the precision of the system. The hardware part is realized by Siemens 400 series PLC, and the software is realized in STEP7 environment.
【学位授予单位】：武汉科技大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TG334.9;TP273.4
本文编号：2200530
[Abstract]:China is a large industrial country with large steel production bases such as WISCO, Shougang and Baosteel. Although our country maintains high steel production output, there is not a small gap between China and the world powers in the production of steel quality. The main reason of restricting the development of iron and steel industry in China is that the iron and steel equipment in our country is aging and the automation degree is not high. In the production of high-speed steel rolling, one of the important links is to finish the wire head and tail, that is, flying shear and shearing. A new intelligent control system for flying shear is designed in this paper. The system optimizes the flying shear system and applies the latest fuzzy control theory, combined with the latest Siemens PLC products, which can effectively improve the shear accuracy of the flying shear production line. Compared with the complex equipment transformation, the system can realize fuzzy control only by PLC programming, and the cost is low, and the final control effect can meet the actual production requirements. Combined with the actual situation of the transformation of compact strip production line in Wuhan Iron and Steel Group Company, the positioning principle of flying shear blade is analyzed, and the advantages and disadvantages of direct AC speed regulation are compared. The AC speed regulating device and control method are analyzed. The optimized parabola parking curve and the reconstruction scheme of step position ring are given. And the new intelligent control algorithm is used to improve the precision of the system. The hardware part is realized by Siemens 400 series PLC, and the software is realized in STEP7 environment.
【学位授予单位】：武汉科技大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TG334.9;TP273.4
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