【摘要】：氣固兩相流廣泛存在于工、農(nóng)業(yè)生產(chǎn)中,準確測量其流體參數(shù)(速度、濃度等)對于生產(chǎn)過程中的節(jié)能環(huán)保、生產(chǎn)效率以及生產(chǎn)安全性至關(guān)重要。準確測量氣固兩相流參數(shù)最重要的是要能夠獲得良好的氣固兩相流信號,通過使用高質(zhì)量的信號進行參數(shù)測量算法運算,能夠提高氣固兩相流參數(shù)測量的精度。氣固兩相流信號是微伏級別的微弱信號,在復(fù)雜、惡劣的工、農(nóng)業(yè)生產(chǎn)環(huán)境中,噪聲和干擾會對氣固兩相流信號產(chǎn)生影響,造成信號的信噪比較低,這樣非常不利于信號分析,所以要對信號進行濾波處理,氣固兩相流流型復(fù)雜,很難建立其數(shù)學(xué)模型,現(xiàn)場環(huán)境也是多變的,對于信號和噪聲先驗知識未知的信號,自適應(yīng)濾波可以通過自身具有的跟蹤和學(xué)習(xí)能力,調(diào)整濾波器參數(shù)到最優(yōu),實現(xiàn)最優(yōu)濾波。本文通過對自適應(yīng)濾波方法進行研究,主要研究了 LMS自適應(yīng)濾波方法、RLS自適應(yīng)濾波方法,以及將小波變換與自適應(yīng)濾波方法相結(jié)合的基于小波變換的自適應(yīng)濾波方法,分析了算法特性、存在的問題以及對其改進的算法,并將所研究的算法應(yīng)用在氣固兩相流信號的處理上,先在氣固兩相流參數(shù)測量實驗平臺上采集氣固兩相流信號,運用采集到的數(shù)據(jù)在MATLAB中進行離線仿真,分析并驗證算法可行性,然后將算法移植到TI公司TMS320F28335這一款DSP的開發(fā)環(huán)境中,實時的采集氣固兩相流信號,對采集到的氣固兩相流信號進行濾波處理,去除信號中的噪聲和干擾。最后,以氣固兩相流流速作為評價指標,對比分析了濾波前后所得到的氣固兩相流參數(shù)(流速)的精度,通過多次實驗,對比分析可以得出,加入了自適應(yīng)濾波方法對氣固兩相流信號預(yù)處理后,得到了更精確的氣固兩相流固相顆粒流速。實驗結(jié)果證明:通過對氣固兩相流信號進行自適應(yīng)濾波處理,得到了高質(zhì)量的信號,運用高質(zhì)量的信號進行參數(shù)測量算法分析運算,能夠提高氣固兩相流參數(shù)測量的精度。
[Abstract]:Gas-solid two-phase flow exists widely in industry. In agricultural production, accurate measurement of fluid parameters (such as velocity, concentration, etc.) is very important for energy saving and environmental protection, production efficiency and production safety. The most important thing in accurate measurement of the parameters of gas-solid two-phase flow is to obtain good signals of gas-solid two-phase flow. The precision of parameter measurement of gas-solid two-phase flow can be improved by using high quality signal to calculate the parameters. The gas-solid two-phase flow signal is a weak signal of microvolt level. In the complex, harsh industrial and agricultural production environment, noise and interference will affect the gas-solid two-phase flow signal, resulting in a low signal-to-noise ratio of the signal, which is very unfavorable to signal analysis. So to filter the signal, the flow pattern of gas-solid two-phase flow is complex, it is difficult to establish its mathematical model, the field environment is also changeable, for the signal and the signal with unknown prior knowledge of noise, The adaptive filter can adjust the filter parameters to the optimum through its own tracking and learning ability to achieve the optimal filtering. Through the research of adaptive filtering method, this paper mainly studies the LMS adaptive filtering method and the adaptive filtering method based on wavelet transform, which combines wavelet transform with adaptive filtering method. The characteristics of the algorithm, the existing problems and the improved algorithm are analyzed. The proposed algorithm is applied to the signal processing of gas-solid two-phase flow. Firstly, the signals of gas-solid two-phase flow are collected on the experimental platform of parameter measurement of gas-solid two-phase flow. Using the collected data to carry on the off-line simulation in MATLAB, analyze and verify the feasibility of the algorithm, then transplant the algorithm into the DSP development environment of TI Company TMS320F28335, and collect the gas-solid two-phase flow signal in real time. The collected gas-solid two-phase flow signal is filtered to remove the noise and interference. Finally, taking the velocity of gas-solid two-phase flow as the evaluation index, the accuracy of the parameters (velocity) of gas-solid two-phase flow before and after filtering is compared and analyzed. A more accurate flow velocity of gas-solid two-phase flow particles is obtained by adding adaptive filtering method to the pretreatment of gas-solid two-phase flow signal. The experimental results show that the high quality signal can be obtained by adaptive filtering of the gas-solid two-phase flow signal, and the precision of the parameter measurement can be improved by using the high-quality signal to analyze and calculate the parameters of the gas-solid two-phase flow.
【學(xué)位授予單位】：西安理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TN911.7;O359

【參考文獻】

相關(guān)期刊論文 前10條

1 韓子揚;杜利明;王鑫;陳楠;;一種改進的小波閾值去噪方法[J];現(xiàn)代電子技術(shù);2016年17期

2 張彥奎;王大鳴;徐小玲;;基于閾值自適應(yīng)的小波增強信道估計技術(shù)[J];信息工程大學(xué)學(xué)報;2016年04期

3 趙彤;梁家碧;夏天翔;鄒亮;張黎;;基于LMS自適應(yīng)濾波算法的電力變壓器有源降噪系統(tǒng)[J];高電壓技術(shù);2016年07期

4 辛元超;張君安;方舟;;改進的自適應(yīng)小波閾值去噪新算法[J];計算機與數(shù)字工程;2016年06期

5 劉夢姣;;基于小波閾值去噪法閾值函數(shù)的研究[J];裝備制造技術(shù);2016年02期

6 鄧湘;穆星達;唐宇;;陣列式靜電傳感器結(jié)構(gòu)設(shè)計與優(yōu)化研究[J];儀器儀表學(xué)報;2016年01期

7 程藻;夏珉;李微;郭文平;曾憲江;楊克成;;基于可變遺忘因子RLS算法的水下激光雷達回波提取[J];激光與光電子學(xué)進展;2016年01期

8 張紅梅;韓萬剛;;一種新的變步長LMS自適應(yīng)濾波算法研究及其應(yīng)用[J];儀器儀表學(xué)報;2015年08期

9 黃峰;楊道業(yè);孫心岑;史華瑩;李鵬;;基于離散小波變換的氣固兩相流參數(shù)檢測[J];儀表技術(shù)與傳感器;2015年05期

10 行正世;謝永亮;劉正奇;;基于小波變換低信噪比下的雷達目標提取[J];現(xiàn)代雷達;2015年05期

相關(guān)碩士學(xué)位論文 前3條

1 張增輝;基于靜電方法的氣固兩相流流速測量系統(tǒng)研究[D];天津大學(xué);2012年

2 王世功;靜電法速度測量系統(tǒng)的研究[D];東北大學(xué);2009年

3 李良;氣固兩相流靜電相關(guān)流速測量研究[D];天津大學(xué);2008年

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