本文選題：分解爐出口溫度　切入點：分解率　出處：《長春工業(yè)大學(xué)》2017年碩士論文

【摘要】：新型干法水泥生產(chǎn)技術(shù)是當(dāng)代水泥生產(chǎn)的最新技術(shù),它以水泥初級分解技術(shù)為核心。初級分解技術(shù)又包括懸浮預(yù)熱和窯外分解技術(shù)兩部分。水泥分解爐是初級分解系統(tǒng)中的核心設(shè)備,經(jīng)過分解爐環(huán)節(jié),可使入窯的生料碳酸鹽分解率提高到90%-95%左右,從而減輕窯的熱負荷,提高窯的運轉(zhuǎn)周期,進而提高了水泥的產(chǎn)量和質(zhì)量,而反映生料入窯分解率的最重要變量就是分解爐的出口溫度,控制好水泥分解爐的出口溫度對整個初級分解系統(tǒng)的熱力分布、熱工制度的穩(wěn)定都至關(guān)重要。水泥分解爐是一個典型的非線性、強耦合的復(fù)雜控制對象,其精確的數(shù)學(xué)模型難以建立,而模糊控制不需要建立被控對象精確的數(shù)學(xué)模型。為此,本文在分析總結(jié)國內(nèi)外水泥分解爐出口溫度控制技術(shù)研究現(xiàn)狀的基礎(chǔ)上,針對本文研究背景中分解爐出口溫度控制的特點,提出以基于IPSO-SVR的分解爐出口溫度預(yù)測模型為基礎(chǔ)的多變量模糊控制方案。本文在深入分析其工藝機理的基礎(chǔ)上,首先確定了影響分解爐出口溫度的主要因素,并根據(jù)現(xiàn)場運行數(shù)據(jù),建立了基于IPSO-SVR的分解爐出口溫度預(yù)測模型,即分解爐出口溫度與其影響因素之間的數(shù)學(xué)模型,并通過仿真實驗,驗證了其極佳的預(yù)測精度;其次,為了克服特定干擾因素對控制系統(tǒng)的影響,設(shè)計了帶前饋-負反饋的多變量模糊控制器,并引入自調(diào)整比例、量化因子的思想,規(guī)避了由系統(tǒng)多變、大滯后特性或者控制規(guī)則尚不完善可能引發(fā)的控制盲區(qū)問題,仿真結(jié)果顯示了其較好的控制效果,并能很好地達到控制要求。同時,為了更好地將該控制算法應(yīng)用于工程實際,本文最后以VC++6.0為開發(fā)平臺,開發(fā)了基于OPC技術(shù)的VC客戶端模糊控制算法程序軟件,并實現(xiàn)了與水泥DCS之間的數(shù)據(jù)通信。論文的研究具有較強的工程背景,所開發(fā)的軟件人機交互友好,具有一定的實用性和推廣價值。
[Abstract]:New dry process cement production technology is the latest technology in contemporary cement production. It takes the cement primary decomposition technology as the core. The primary decomposition technology also includes suspension preheating and kiln decomposition technology. Cement calciner is the core equipment in the primary decomposition system. The carbonate decomposition rate of raw material in the kiln can be increased to about 90-95%, thus reducing the heat load of the kiln, increasing the kiln operation cycle, and further improving the output and quality of cement. The most important variable reflecting the decomposition rate of raw material into the kiln is the outlet temperature of the calciner, and the thermal distribution of the whole primary decomposition system is controlled well by the outlet temperature of the cement calciner. The stability of thermal system is very important. Cement calciner is a typical nonlinear and strongly coupled complex control object, its precise mathematical model is difficult to establish, and fuzzy control does not need to establish an accurate mathematical model of controlled object. On the basis of analyzing and summarizing the present situation of the research on the temperature control technology of cement calciner outlet at home and abroad, this paper aims at the characteristics of the outlet temperature control of the calciner in the background of this paper. This paper presents a multivariable fuzzy control scheme based on the temperature prediction model of calciner outlet based on IPSO-SVR. On the basis of in-depth analysis of its process mechanism, the main factors affecting the outlet temperature of calciner are determined in this paper. According to the field operation data, the prediction model of the outlet temperature of calciner based on IPSO-SVR is established, that is, the mathematical model between the outlet temperature of calciner and its influencing factors. In order to overcome the influence of specific disturbance factors on the control system, a multivariable fuzzy controller with feedforward and negative feedback is designed, and the idea of self-adjusting proportion and quantization factor is introduced to avoid the variability of the system. The problem of control blind area caused by the characteristics of large delay or imperfect control rules is proved by the simulation results, and the control requirements can be achieved well. At the same time, in order to better apply the control algorithm to engineering practice, Finally, using VC 6.0 as the development platform, the software of VC client fuzzy control algorithm based on OPC technology is developed, and the data communication between VC client and cement DCS is realized. The research of this paper has a strong engineering background. The developed software has friendly man-machine interaction and has certain practicability and popularization value.
【學(xué)位授予單位】：長春工業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TQ172.6

【參考文獻】

相關(guān)期刊論文 前10條

1 金星;徐婷;王盛慧;李冰巖;秦石凌;張永恒;;基于IPSO-SVR的水泥窯尾分解率軟測量研究[J];中國測試;2016年11期

2 ;混凝土與水泥制品行業(yè)“十三五”發(fā)展規(guī)劃[J];混凝土世界;2016年08期

3 史長城;;水泥分解爐出口溫度RBF神經(jīng)網(wǎng)絡(luò)建模[J];貴州師范學(xué)院學(xué)報;2016年06期

4 袁鑄鋼;蘇哲;張強;;水泥分解爐出口溫度T-S建模[J];控制工程;2016年02期

5 王紅君;孟欣欣;趙輝;岳有軍;;基于神經(jīng)網(wǎng)絡(luò)的預(yù)分解窯系統(tǒng)分解爐出口溫度建模[J];化工自動化及儀表;2016年02期

6 左云濤;劉洋;李洪波;;PID回路實現(xiàn)分解爐出口溫度自動控制方法[J];水泥;2015年10期

7 崔錫艦;;五級旋風(fēng)預(yù)熱器結(jié)構(gòu)合理性的數(shù)值模擬[J];水泥工程;2015年03期

8 楊維;;模糊控制在水泥回轉(zhuǎn)窯中的應(yīng)用[J];自動化與儀器儀表;2015年01期

9 蔣妍妍;李洪林;;基于變論域模糊PID的分解爐溫度控制研究[J];測控技術(shù);2014年10期

10 高燕;周成虎;蘇奮振;;基于OLI影像多參數(shù)設(shè)置的SVM分類研究[J];測繪工程;2014年06期

相關(guān)碩士學(xué)位論文 前5條

1 張洋銘;基于自適應(yīng)控制的水泥熟料燒成控制參數(shù)研究[D];吉林大學(xué);2016年

2 段鵬君;水泥生料分解爐溫度過程建模方法研究[D];東北大學(xué);2012年

3 路士增;水泥生產(chǎn)過程分解爐環(huán)節(jié)的優(yōu)化控制研究[D];濟南大學(xué);2012年

4 張小霞;新型干法水泥生產(chǎn)線預(yù)熱與窯外分解過程控制研究[D];濟南大學(xué);2011年

5 蔡寧;水泥熟料燒成系統(tǒng)優(yōu)化控制研究[D];浙江大學(xué);2011年

，

本文編號：1695080