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水泥粉磨自動控制系統(tǒng)的開發(fā)

發(fā)布時間:2018-03-01 09:10

  本文關鍵詞: 均值濾波 卡爾曼濾波 PID控制 模糊PID控制 M文件調(diào)用 出處:《濟南大學》2015年碩士論文 論文類型:學位論文


【摘要】:水泥在國內(nèi)外的水利、土木等相關行業(yè)內(nèi)應用很廣,我國水泥生產(chǎn)工業(yè)發(fā)展迅速,水泥的生產(chǎn)量逐年增加。從上世紀八十年代年開始,我國的水泥年產(chǎn)值已經(jīng)連續(xù)二十多年位居世界第一,近幾年水泥年產(chǎn)量占世界總產(chǎn)量的一半以上,與此同時,能源消耗問題也日益增加。本文依托某水泥粉磨系統(tǒng)工藝,首先介紹了水泥的背景及意義,并且對國內(nèi)外水泥粉磨系統(tǒng)的現(xiàn)狀進行分析研究;通過對現(xiàn)場數(shù)據(jù)的采集分析,確定了在某水泥1#線中幾組關鍵因素,通過研究分析后確定出了影響整個系統(tǒng)的三個部分,本文中選出了以出磨提升機電流為輸入,以V型選粉機轉(zhuǎn)速為輸出的這一部分進行分析研究,從控制角度分析了水泥粉磨優(yōu)化控制系統(tǒng)中的控制目標及難點,并提出了水泥粉磨系統(tǒng)整體控制的設計方案;首先在VB6.0軟件下建立操作員界面,并將界面中所涉及到的各個功能進行解釋,在此軟件下實現(xiàn)OPC與DCS系統(tǒng)的互聯(lián),將水泥現(xiàn)場測量到的出磨提升機電流進行濾波,在數(shù)據(jù)處理上本文采取了均值濾波和卡爾曼濾波兩種濾波方法進行數(shù)據(jù)處理,對采集到的雜亂無章,帶有毛刺的數(shù)據(jù)進行剔除,通過數(shù)據(jù)趨勢反映現(xiàn)場情況,并在相同時間段內(nèi)所選取的一組數(shù)據(jù)下,分別利用兩種濾波方法進行濾波,并對兩種濾波方法進行比較分析;分別利用PID控制與模糊PID控制兩種控制算法對采集到的數(shù)據(jù)進行控制,通過對數(shù)據(jù)處理后的數(shù)據(jù)進行分析研究后得到在系統(tǒng)中的期望值,并選出了一個大于期望值一個小于期望值的兩個數(shù)據(jù)在兩種控制方法中進行控制,并分別對比了兩種控制方法在控制中的超調(diào)量大小及達到穩(wěn)定的時間;目前,在大部分的實際工業(yè)控制研究中,還是利用Matlab軟件進行本地仿真。然后,再利用VB6.0進行編程控制現(xiàn)場,這樣大大增加了研究人員的工作量。在本文中,省略了仿真后還需要在VB6.0軟件下編程的繁瑣過程,直接對仿真時用到的M文件進行調(diào)用,這樣大大的縮短了研究時間,也減少了研究人員的工作量。本文中,所有的濾波及控制算法都是在Matlab軟件下編寫的M文件,對于數(shù)據(jù)讀取及顯示界面等都是在VB6.0軟件下進行設計編寫,最后實現(xiàn)了在VB6.0界面下對M文件的調(diào)用,雖然本文所研究的內(nèi)容未能投入到工業(yè)生產(chǎn)中,但是通過仿真研究得到了很好的結(jié)果。最后,在總結(jié)已完成的研究上,提出了在本文中未解決的一些問題,還需要進一步研究的問題,并進行了展望。
[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.
【學位授予單位】:濟南大學
【學位級別】:碩士
【學位授予年份】:2015
【分類號】:TQ172.63;TP273

【參考文獻】

相關期刊論文 前1條

1 王孝紅;張加良;于宏亮;;Fuzzy-PID復合控制在水泥冷卻過程中的應用[J];控制工程;2011年02期



本文編號:1551287

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