基于優(yōu)化理論的管網(wǎng)在線仿真濾波技術(shù)研究
本文關(guān)鍵詞:基于優(yōu)化理論的管網(wǎng)在線仿真濾波技術(shù)研究 出處:《西安石油大學(xué)》2015年碩士論文 論文類型:學(xué)位論文
更多相關(guān)文章: 管網(wǎng)在線仿真 非線性濾波 優(yōu)化理論 系統(tǒng)噪聲
【摘要】:隨著中國石油、天然氣生產(chǎn)與應(yīng)用的蓬勃發(fā)展,油氣管道迅速增長,形成了大型、復(fù)雜的管道輸送系統(tǒng)。為了保障復(fù)雜油氣管道的生產(chǎn)、輸送和供給,管網(wǎng)在線仿真技術(shù)得到了越來越多的應(yīng)用。但是管網(wǎng)實(shí)時(shí)在線仿真過程中經(jīng)常受到噪聲的干擾,降低了在線仿真結(jié)果的精度。為了保證管網(wǎng)在線仿真的精確度,需要研究一種管網(wǎng)在線仿真濾波方法,濾除在線仿真中存在的噪聲,提高管網(wǎng)在線仿真的準(zhǔn)確性。本文調(diào)研了大量國內(nèi)外文獻(xiàn),緊跟國內(nèi)外非線性濾波技術(shù)研究的最新成果,并與管網(wǎng)在線仿真技術(shù)相結(jié)合,進(jìn)行了深入研究。通過研究分析現(xiàn)有管網(wǎng)仿真方法,運(yùn)用隱式法建立管網(wǎng)在線仿真流體動(dòng)態(tài)模型,以建立的管網(wǎng)在線仿真模型為基礎(chǔ),對管網(wǎng)在線仿真系統(tǒng)中存在的噪聲干擾進(jìn)行深入研究。針對管網(wǎng)系統(tǒng)狀態(tài)噪聲以及量測噪聲的干擾,以管網(wǎng)在線仿真系統(tǒng)的狀態(tài)方程和量測方程為基礎(chǔ)建立目標(biāo)函數(shù),使用優(yōu)化理論將建立的濾波目標(biāo)函數(shù)達(dá)到極小化,運(yùn)用最小二乘估計(jì)以及極值原理對目標(biāo)函數(shù)進(jìn)行處理,將非線性濾波問題歸結(jié)轉(zhuǎn)化為非線性優(yōu)化問題,進(jìn)而設(shè)計(jì)出最優(yōu)管道實(shí)時(shí)在線模擬器,濾除管網(wǎng)在線仿真系統(tǒng)中的干擾噪聲,以保證管網(wǎng)在線仿真結(jié)果的精確性。利用Matlab 2010a編制“基于優(yōu)化理論的管網(wǎng)在線仿真濾波”計(jì)算程序,并編制了擴(kuò)展卡爾曼濾波計(jì)算程序,對現(xiàn)實(shí)中某天然氣管網(wǎng)系統(tǒng)為例,進(jìn)行濾波計(jì)算,將得到的濾波計(jì)算數(shù)據(jù)與無噪數(shù)據(jù)、含噪數(shù)據(jù)以及擴(kuò)展卡爾曼濾波數(shù)據(jù)進(jìn)行對比,證明了本文所研究的管網(wǎng)在線仿真濾波方法具有較好的濾波效果,且濾波結(jié)果的精度高于現(xiàn)在常用的擴(kuò)展卡爾曼濾波方法,以此驗(yàn)證了本文研究的濾波方法在管網(wǎng)在線仿真系統(tǒng)的中的適用性和有效性。
[Abstract]:With the rapid development of petroleum and natural gas production and application in China, oil and gas pipelines have grown rapidly, forming a large and complex pipeline transportation system to ensure the production, transportation and supply of complex oil and gas pipelines. The on-line simulation technology of pipeline network has been applied more and more, but in the process of real-time on-line simulation of pipeline network, it is often interfered by noise, which reduces the accuracy of on-line simulation result, in order to ensure the accuracy of on-line simulation of pipe network. It is necessary to study a kind of on-line simulation filtering method to remove the noise and improve the accuracy of on-line simulation. A large number of domestic and foreign literatures are investigated in this paper. Following the latest research results of nonlinear filtering technology at home and abroad, and combining with the on-line simulation technology of pipe network, a deep research is carried out. Through the research and analysis of the existing pipe network simulation methods. The fluid dynamic model of pipe network on-line simulation is established by implicit method, which is based on the established on-line simulation model of pipe network. The noise interference existing in the on-line simulation system of pipeline network is deeply studied, and the interference of the state noise and the measurement noise of the pipe network system is discussed. The objective function is established on the basis of the state equation and measurement equation of the on-line simulation system of pipeline network, and the filter objective function is minimized by using the optimization theory. The objective function is processed by using least square estimation and extreme value principle, and the nonlinear filtering problem is converted into nonlinear optimization problem, and then the optimal pipeline real-time on-line simulator is designed. Filtering the interference noise in the on-line simulation system of pipe network. In order to ensure the accuracy of the on-line simulation results of pipeline network, the program of "online simulation filter based on optimization theory" is compiled by Matlab 2010a, and the calculation program of extended Kalman filter is compiled. For a natural gas pipeline network system as an example, the filter calculation data are compared with the noiseless data, noisy data and extended Kalman filter data. It is proved that the on-line simulation filtering method studied in this paper has better filtering effect, and the accuracy of the filtering results is higher than that of the extended Kalman filtering method. The applicability and effectiveness of the filtering method studied in this paper in the pipe network online simulation system are verified.
【學(xué)位授予單位】:西安石油大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2015
【分類號】:TE973
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 黃銚;張?zhí)祢U;李越雷;劉燕麗;;一種擴(kuò)維無跡卡爾曼濾波[J];電子測量與儀器學(xué)報(bào);2009年S1期
2 虞貴財(cái);邵玉斌;肖笛;;產(chǎn)生高斯白噪聲的研究與實(shí)現(xiàn)[J];電子科技;2006年11期
3 石巖,劉宗行,李偉;一種可編程的信號濾波方法的研究[J];國外電子測量技術(shù);2005年01期
4 陳敬華;;拉格朗日乘子法及其推廣[J];湖北師范學(xué)院學(xué)報(bào)(自然科學(xué)版);2010年04期
5 孫慶祥;戴邵武;路燕;;加權(quán)最小二乘—卡爾曼濾波算法在動(dòng)基座對準(zhǔn)中的應(yīng)用[J];海軍航空工程學(xué)院學(xué)報(bào);2008年04期
6 陳鵬;錢徽;朱淼良;;基于加權(quán)最小二乘的卡爾曼濾波算法[J];計(jì)算機(jī)科學(xué);2009年11期
7 王瑛,莫金垣;化學(xué)信號濾波新方法[J];計(jì)算機(jī)與應(yīng)用化學(xué);2002年03期
8 王學(xué)斌;徐建宏;張章;;卡爾曼濾波器參數(shù)分析與應(yīng)用方法研究[J];計(jì)算機(jī)應(yīng)用與軟件;2012年06期
9 ;SCKF-STF-CN:a universal nonlinear filter for maneuver target tracking[J];Journal of Zhejiang University-Science C(Computers & Electronics);2011年08期
10 張友民,,戴冠中,張洪才;卡爾曼濾波計(jì)算方法研究進(jìn)展[J];控制理論與應(yīng)用;1995年05期
相關(guān)博士學(xué)位論文 前1條
1 向禮;非線性濾波方法及其在導(dǎo)航中的應(yīng)用研究[D];哈爾濱工業(yè)大學(xué);2009年
相關(guān)碩士學(xué)位論文 前4條
1 朱愛華;卡爾曼濾波和序貫概率比檢驗(yàn)在管道泄漏監(jiān)測中的應(yīng)用[D];天津大學(xué);2006年
2 于翔川;基于非線性濾波的目標(biāo)跟蹤算法研究[D];西安電子科技大學(xué);2009年
3 張曉瑩;非線性卡爾曼濾波的一點(diǎn)討論[D];中山大學(xué);2010年
4 李官政;管道實(shí)時(shí)監(jiān)控系統(tǒng)實(shí)時(shí)數(shù)據(jù)庫研究[D];中國石油大學(xué);2010年
本文編號:1394476
本文鏈接:http://sikaile.net/kejilunwen/shiyounenyuanlunwen/1394476.html