本文選題：半導(dǎo)體制冷器　切入點：有限元分析　出處：《南京信息工程大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：在軍事、醫(yī)療、科學(xué)研究中,常需要在小空間內(nèi)實現(xiàn)高精度低溫環(huán)境,滿足特定的應(yīng)用場合,傳統(tǒng)機械式壓縮制冷由于其體積大、能耗高、噪音大、不易控制等缺點,不能夠滿足上述制冷要求�；谂翣栙N效應(yīng)的半導(dǎo)體制冷技術(shù)具有體積小、降溫快、無污染、精度高等特點,是應(yīng)用在這一領(lǐng)域的一種優(yōu)選方案。但是,現(xiàn)今在如何發(fā)揮半導(dǎo)體最佳制冷效率、控制制冷精度以及延長制冷器使用壽命方面還不夠成熟。本文以小型半導(dǎo)體制冷器為研究對象,在提高半導(dǎo)體制冷速度、制冷精度與穩(wěn)定性、發(fā)揮最佳制冷效率、延長半導(dǎo)體工作壽命四個方面入手對半導(dǎo)體制冷性能與自學(xué)習(xí)測控算法進行研究。 本文首先介紹了制冷器的研究現(xiàn)狀,分析了半導(dǎo)體制冷的基本原理,對半導(dǎo)體制冷器進行了不同工作狀態(tài)下的熱分析計算,得到其工況最優(yōu)設(shè)計方案。再通過對半導(dǎo)體散熱器在不同功率下溫升大小以及溫升時間常數(shù)的模擬數(shù)值分析,對半導(dǎo)體制冷器進行制冷方案設(shè)計。 論文重點通過模擬數(shù)值分析與實際實驗數(shù)據(jù),制定半導(dǎo)體制冷器自學(xué)習(xí)測控算法,繼而結(jié)合PID控制算法,設(shè)計一套自學(xué)習(xí)PID控制算法,以使半導(dǎo)體制冷器在最快速度降溫的條件下實現(xiàn)高穩(wěn)定性、高精度的恒溫控制。 本文針對半導(dǎo)體制冷器設(shè)計的自學(xué)習(xí)測控算法在一定程度上優(yōu)化了半導(dǎo)體制冷器工作性能并延長其使用壽命,有望在實際工程中得到應(yīng)用。
[Abstract]:In military, medical and scientific research, it is often necessary to realize high precision and low temperature environment in small space to meet the specific application situation. Traditional mechanical compression refrigeration has the disadvantages of large volume, high energy consumption, large noise, difficult to control and so on. The semiconductor refrigeration technology based on Partil effect has the advantages of small volume, fast cooling, no pollution, high precision and so on. Nowadays, it is not mature enough to give full play to the best efficiency of semiconductor refrigeration, to control the refrigeration precision and to prolong the service life of the cooler. This paper takes the small semiconductor cooler as the research object to improve the speed of semiconductor refrigeration. The refrigeration performance and self-learning measurement and control algorithm are studied from four aspects: refrigeration accuracy and stability, optimal refrigeration efficiency and prolongation of semiconductor working life. This paper first introduces the research status of the cooler, analyzes the basic principle of the semiconductor refrigeration, and calculates the thermal analysis of the semiconductor cooler under different working conditions. The optimal design scheme is obtained, and then the cooling scheme of semiconductor cooler is designed by numerical simulation of temperature rise and temperature rise time constant under different power. In this paper, the self-learning measurement and control algorithm of semiconductor cooler is developed by numerical simulation and experimental data, and then a set of self-learning PID control algorithm is designed by combining with PID control algorithm. In order to realize the high stability and high precision constant temperature control of semiconductor cooler under the condition of the fastest speed cooling. In this paper, the self-learning measurement and control algorithm designed for semiconductor refrigerators is expected to be applied in practical engineering, which optimizes the performance of semiconductor refrigerators and prolongs their service life to a certain extent.
【學(xué)位授予單位】：南京信息工程大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TB657

【參考文獻】

相關(guān)期刊論文 前10條

1 金奇;鄧志杰;;PID控制原理及參數(shù)整定方法[J];重慶工學(xué)院學(xué)報(自然科學(xué)版);2008年05期

2 任欣,張鵬;有限散熱強度下半導(dǎo)體制冷器性能的實驗研究[J];低溫工程;2003年04期

3 宣向春,王維揚;半導(dǎo)體制冷器工作參數(shù)的理論分析[J];低溫工程;1998年01期

4 謝三毛;;基于LabVIEW的直流電機轉(zhuǎn)速PID控制系統(tǒng)設(shè)計[J];防爆電機;2009年04期

5 楊玉順,王國慶;熱電制冷循環(huán)最佳特性分析[J];哈爾濱工業(yè)大學(xué)學(xué)報;1990年04期

6 馬秋花,趙昆渝,李智東,劉國璽,葛偉萍;熱電材料綜述[J];電工材料;2004年01期

7 王龍;;基于鉑電阻Pt100的高精度溫度測控系統(tǒng)設(shè)計[J];吉首大學(xué)學(xué)報(自然科學(xué)版);2009年03期

8 劉淼;王田苗;魏洪興;陳友東;;基于uCOS-II的嵌入式數(shù)控系統(tǒng)實時性分析[J];計算機工程;2006年22期

9 聶春戈,劉劍飛,孫樹立;四面體網(wǎng)格質(zhì)量度量準則的研究[J];計算力學(xué)學(xué)報;2003年05期

10 張立東,李椿萱;結(jié)構(gòu)型網(wǎng)格分塊生成技術(shù)[J];計算物理;2001年04期

，

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