水泥粉磨自动控制系统的开发
发布时间:2018-03-01 09:10
本文关键词: 均值滤波 卡尔曼滤波 PID控制 模糊PID控制 M文件调用 出处:《济南大学》2015年硕士论文 论文类型:学位论文
【摘要】:水泥在国内外的水利、土木等相关行业内应用很广,我国水泥生产工业发展迅速,水泥的生产量逐年增加。从上世纪八十年代年开始,我国的水泥年产值已经连续二十多年位居世界第一,近几年水泥年产量占世界总产量的一半以上,与此同时,能源消耗问题也日益增加。本文依托某水泥粉磨系统工艺,首先介绍了水泥的背景及意义,并且对国内外水泥粉磨系统的现状进行分析研究;通过对现场数据的采集分析,确定了在某水泥1#线中几组关键因素,通过研究分析后确定出了影响整个系统的三个部分,本文中选出了以出磨提升机电流为输入,以V型选粉机转速为输出的这一部分进行分析研究,从控制角度分析了水泥粉磨优化控制系统中的控制目标及难点,并提出了水泥粉磨系统整体控制的设计方案;首先在VB6.0软件下建立操作员界面,并将界面中所涉及到的各个功能进行解释,在此软件下实现OPC与DCS系统的互联,将水泥现场测量到的出磨提升机电流进行滤波,在数据处理上本文采取了均值滤波和卡尔曼滤波两种滤波方法进行数据处理,对采集到的杂乱无章,带有毛刺的数据进行剔除,通过数据趋势反映现场情况,并在相同时间段内所选取的一组数据下,分别利用两种滤波方法进行滤波,并对两种滤波方法进行比较分析;分别利用PID控制与模糊PID控制两种控制算法对采集到的数据进行控制,通过对数据处理后的数据进行分析研究后得到在系统中的期望值,并选出了一个大于期望值一个小于期望值的两个数据在两种控制方法中进行控制,并分别对比了两种控制方法在控制中的超调量大小及达到稳定的时间;目前,在大部分的实际工业控制研究中,还是利用Matlab软件进行本地仿真。然后,再利用VB6.0进行编程控制现场,这样大大增加了研究人员的工作量。在本文中,省略了仿真后还需要在VB6.0软件下编程的繁琐过程,直接对仿真时用到的M文件进行调用,这样大大的缩短了研究时间,也减少了研究人员的工作量。本文中,所有的滤波及控制算法都是在Matlab软件下编写的M文件,对于数据读取及显示界面等都是在VB6.0软件下进行设计编写,最后实现了在VB6.0界面下对M文件的调用,虽然本文所研究的内容未能投入到工业生产中,但是通过仿真研究得到了很好的结果。最后,在总结已完成的研究上,提出了在本文中未解决的一些问题,还需要进一步研究的问题,并进行了展望。
[Abstract]:Cement is widely used in water conservancy, civil engineering and other related industries at home and abroad. The cement production industry in China has developed rapidly and the production of cement has increased year by year. The annual output value of cement in China has been ranked first in the world for more than 20 years. In recent years, the annual output of cement accounts for more than half of the total output of the world. At the same time, the problem of energy consumption is also increasing day by day. Firstly, the background and significance of cement are introduced, and the present situation of cement grinding system at home and abroad is analyzed, and through the collection and analysis of field data, several key factors are determined in a cement 1# line. Three parts which affect the whole system are determined through the research and analysis. In this paper, the current of the mill winder is chosen as the input, and the speed of the V-type separator is taken as the output to analyze and study. The control objectives and difficulties in the cement grinding optimization control system are analyzed from the control point of view, and the overall control scheme of the cement grinding system is proposed. Firstly, the operator interface is established under the VB6.0 software. The functions involved in the interface are explained, the interconnection between OPC and DCS system is realized under this software, and the current of the mill hoist measured in cement field is filtered. In the data processing, two filtering methods, mean filter and Kalman filter, are adopted to process the data. The collected data with burr are eliminated, and the field situation is reflected by the trend of the data. And in the same time selected a set of data, respectively using two filtering methods to filter, and the two filtering methods are compared and analyzed. Two control algorithms, PID control and fuzzy PID control, are used to control the collected data, and the expected values in the system are obtained by analyzing and studying the data after data processing. Two data which are larger than the expected value and less than the expected value are selected to be controlled in the two control methods, and the overshoot amount and the time to achieve stability of the two control methods in the control are compared respectively. In most of the actual industrial control research, we still use Matlab software for local simulation. Then, we use VB6.0 to program and control the field, which greatly increases the workload of the researchers. In this paper, Omitting the tedious process of programming under the VB6.0 software, directly calling the M file used in the simulation, which greatly shortens the research time and reduces the workload of the researchers. All the filtering and control algorithms are written under the Matlab software. The data reading and display interface are designed and written under the VB6.0 software. Finally, the M file is called under the VB6.0 interface. Although the contents of this paper have not been put into industrial production, the simulation results are very good. Finally, in the summary of the completed research, some unsolved problems in this paper are put forward. It also needs further research and prospects.
【学位授予单位】:济南大学
【学位级别】:硕士
【学位授予年份】:2015
【分类号】:TQ172.63;TP273
【参考文献】
相关期刊论文 前1条
1 王孝红;张加良;于宏亮;;Fuzzy-PID复合控制在水泥冷却过程中的应用[J];控制工程;2011年02期
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