【摘要】：開發(fā)利用天然氣這一清潔能源,實(shí)施“西氣東輸”、“緬氣工程”、“川氣東送”、“陜氣進(jìn)京”等一系列重大輸氣工程,是實(shí)現(xiàn)我國能源結(jié)構(gòu)調(diào)整、發(fā)展低碳經(jīng)濟(jì)的重大戰(zhàn)略決策,這給燃?xì)廨斉湎到y(tǒng)的建設(shè)與發(fā)展帶來了新的機(jī)遇和挑戰(zhàn)。作為燃?xì)馀渌瓦^程中的關(guān)鍵環(huán)節(jié),燃?xì)庹{(diào)壓器的安全性和高效性越來越受到人們的重視�，F(xiàn)有的燃?xì)庹{(diào)壓器通常采用傳統(tǒng)的直接作用式或間接作用式的機(jī)械調(diào)壓模式,這種機(jī)械調(diào)壓方式調(diào)壓精度低、穩(wěn)定性差。由此,會(huì)導(dǎo)致燃?xì)鉄嶂迪陆?造成能源的極大浪費(fèi);同時(shí),產(chǎn)生大量一氧化碳,造成環(huán)境污染,甚至可能誘發(fā)供氣安全等問題。因此,提高燃?xì)庹{(diào)壓器的調(diào)壓性能,已成為燃?xì)庹{(diào)壓技術(shù)領(lǐng)域的前沿課題。本文在深入研究現(xiàn)有調(diào)壓技術(shù)和控制理論的基礎(chǔ)上,以需求量最大的低壓燃?xì)庹{(diào)壓器為研究對象,提出并設(shè)計(jì)了一種新型的電動(dòng)調(diào)壓模式。探索了電動(dòng)燃?xì)庹{(diào)壓測控問題的新理論和新方法,提出一種基于PID神經(jīng)網(wǎng)絡(luò)的燃?xì)庹{(diào)壓測控方案,并采用FPGA實(shí)現(xiàn)了PID神經(jīng)網(wǎng)絡(luò)的燃?xì)庹{(diào)壓實(shí)時(shí)測控。本文的研究工作,有望提升燃?xì)庹{(diào)壓器的技術(shù)水平,以提高燃?xì)庹{(diào)壓的實(shí)時(shí)性、準(zhǔn)確性和可靠性,為燃?xì)庹{(diào)壓器的工程設(shè)計(jì)提供科學(xué)依據(jù)。論文的主要工作包括:研究了現(xiàn)有的燃?xì)庹{(diào)壓技術(shù),建立了電動(dòng)燃?xì)庹{(diào)壓的智能化測控方案;研究了工業(yè)中常用的PID控制技術(shù);針對現(xiàn)有控制算法在電動(dòng)燃?xì)庹{(diào)壓測控的具體應(yīng)用問題,研究了人工神經(jīng)網(wǎng)絡(luò)算法,將人工神經(jīng)網(wǎng)絡(luò)與PID控制規(guī)則相融合,建立了基于PID神經(jīng)網(wǎng)絡(luò)的燃?xì)庹{(diào)壓控制算法;并用MATLAB對傳統(tǒng)PID控制算法和PID神經(jīng)網(wǎng)絡(luò)算法進(jìn)行仿真對比,結(jié)果表明PID神經(jīng)網(wǎng)絡(luò)比PID控制具有更加優(yōu)越的性能;同時(shí),用FPGA硬件平臺(tái)進(jìn)行了算法實(shí)現(xiàn);最后以燃?xì)庹{(diào)壓器的氣壓控制系統(tǒng)為研究基礎(chǔ),對整個(gè)控制模塊進(jìn)行空載時(shí)序仿真和加入燃?xì)庹{(diào)壓器系統(tǒng)模型仿真,仿真結(jié)果表明:PID神經(jīng)網(wǎng)絡(luò)氣壓控制模塊具有很高的控制精度和實(shí)時(shí)性,適用于解決大滯后、非線性調(diào)壓系統(tǒng)的智能控制問題。最后對本課題所做的研究進(jìn)行了總結(jié),并對課題下一步的工作進(jìn)行了展望。
[Abstract]:The development and utilization of natural gas as a clean energy source and the implementation of a series of major gas transmission projects, such as "West to East Gas Transmission", "Myanmar Gas Project", "Sichuan Gas to the East", and "Shaanxi Gas to Beijing", are a series of major gas transmission projects to realize the adjustment of China's energy structure. The important strategic decision of developing low-carbon economy brings new opportunities and challenges to the construction and development of gas transmission and distribution system. As a key link in gas distribution process, people pay more and more attention to the safety and efficiency of gas regulator. The traditional mechanical regulating mode of direct action or indirect action is usually used in the existing gas regulator, which has low precision and poor stability. As a result, the gas calorific value will decrease, resulting in a great waste of energy, at the same time, a large amount of carbon monoxide will be produced, resulting in environmental pollution, and even may lead to the safety of gas supply and so on. Therefore, improving the pressure regulation performance of gas regulator has become a frontier topic in the field of gas pressure regulation technology. On the basis of deep research on the existing voltage regulation technology and control theory, a new type of electric voltage regulating mode is proposed and designed in this paper, taking the low-pressure gas regulator with the greatest demand as the research object. In this paper, the new theory and method of electric gas pressure regulation and measurement and control are explored, and a new method of gas pressure regulation measurement and control based on PID neural network is put forward, and the real time measurement and control of gas pressure regulation based on PID neural network is realized by FPGA. The research work in this paper is expected to improve the technical level of gas regulator, in order to improve the real-time, accuracy and reliability of gas pressure regulation, and provide scientific basis for the engineering design of gas regulator. The main work of this paper is as follows: the existing gas pressure regulation technology has been studied, the intelligent measurement and control scheme of electric gas pressure regulation has been established, the PID control technology commonly used in industry has been studied. Aiming at the specific application of the existing control algorithms in the electric gas pressure regulation and measurement and control, the artificial neural network algorithm is studied, and the artificial neural network and PID control rules are combined to establish the gas pressure regulation control algorithm based on the PID neural network. The traditional PID control algorithm and PID neural network algorithm are simulated and compared with MATLAB. The results show that PID neural network has better performance than PID control, and the algorithm is implemented on FPGA hardware platform. Finally, based on the air pressure control system of the gas regulator, the simulation of the whole control module is carried out on the no-load timing simulation and the model simulation of the gas regulator system. The simulation results show that the PID neural network air pressure control module has high control precision and real-time performance, and it is suitable for solving the intelligent control problem of large lag and nonlinear voltage regulating system. Finally, the research of this topic is summarized, and the future work of the project is prospected.
【學(xué)位授予單位】：重慶大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：TE97;TP273

【相似文獻(xiàn)】

相關(guān)期刊論文 前10條

1 ;主要燃?xì)鈽?biāo)準(zhǔn)規(guī)范匯總(續(xù)3)[J];煤氣與熱力;2008年03期

2 呂強(qiáng);;燃?xì)庹{(diào)壓器使用年限的探討[J];煤氣與熱力;2009年09期

3 張同;燃?xì)庹{(diào)壓器的消聲[J];煤氣與熱力;1991年03期

4 于碧涌;燃?xì)庹{(diào)壓器波紋型薄膜有效面積的計(jì)算[J];煤氣與熱力;2003年04期

5 于碧涌,段常貴;燃?xì)庹{(diào)壓器薄膜結(jié)構(gòu)對調(diào)節(jié)特性的影響[J];煤氣與熱力;2004年04期

6 岳登貴;;燃?xì)庹{(diào)壓器管理系統(tǒng)的建立[J];上海煤氣;2007年03期

7 馮良;姜娣;劉書薈;;單級自力式燃?xì)庹{(diào)壓器動(dòng)態(tài)模型研究[J];煤氣與熱力;2009年02期

8 馮良;劉書薈;夏星星;;燃?xì)庹{(diào)壓器建模與動(dòng)態(tài)特性仿真[J];煤氣與熱力;2010年01期

9 張瑋;王玉;;燃?xì)庹{(diào)壓器在燃燒系統(tǒng)中的應(yīng)用[J];工業(yè)爐;2014年02期

10 楊永美;;燃?xì)庹{(diào)壓器預(yù)警系統(tǒng)在燃?xì)庹{(diào)壓器科學(xué)管理中應(yīng)用[J];上海煤氣;2014年03期

相關(guān)會(huì)議論文 前3條

1 王啟;;歡迎詞[A];中國土木工程學(xué)會(huì)燃?xì)夥謺?huì)應(yīng)用專業(yè)委員會(huì)、中國土木工程學(xué)會(huì)燃?xì)夥謺?huì)燃?xì)夤釋I(yè)委員會(huì)2012年會(huì)論文集[C];2012年

2 張文峰;安少苦;;遠(yuǎn)程調(diào)壓在燃?xì)庹{(diào)壓撬上的應(yīng)用探討[A];土木建筑學(xué)術(shù)文庫(第12卷)[C];2009年

3 王君;石曉明;孟憲斌;;瓶裝液化石油氣調(diào)壓器氣密性檢測系統(tǒng)的設(shè)計(jì)與應(yīng)用[A];中國土木工程學(xué)會(huì)城市燃?xì)夥謺?huì)應(yīng)用專業(yè)委員會(huì)2010年年會(huì)論文集[C];2010年

相關(guān)重要報(bào)紙文章 前10條

1 ;西安市燃?xì)夤芾項(xiàng)l例[N];西安日報(bào);2013年

2 ;蘇州市燃?xì)夤芾磙k法[N];蘇州日報(bào);2007年

3 本報(bào)記者 潘繼紅;燃?xì)饧夹g(shù)與設(shè)備展凸顯綠色安全元素[N];國際商報(bào);2008年

4 記者 拓玲 實(shí)習(xí)生 文杰;企業(yè)隨意限氣 最高罰款10萬[N];西安日報(bào);2013年

5 ;西安市燃?xì)夤芾項(xiàng)l例[N];西安日報(bào);2013年

6 ;太原市燃?xì)夤芾項(xiàng)l例[N];太原日報(bào);2006年

7 記者 拓玲;用戶用氣量不得隨意限制[N];西安日報(bào);2013年

8 記者 拓玲;用戶用氣量不隨意限制[N];西安日報(bào);2013年

9 通訊員　馮山志 張書峰 記者　劉興華;棗強(qiáng)鏈?zhǔn)浇?jīng)濟(jì)拉動(dòng)15萬農(nóng)民離土轉(zhuǎn)工[N];河北經(jīng)濟(jì)日報(bào);2006年

10 張書峰 馮山志;棗強(qiáng)民營特色產(chǎn)業(yè)群競相爭雄[N];衡水日報(bào);2006年

相關(guān)博士學(xué)位論文 前1條

1 于碧涌;燃?xì)庹{(diào)壓器數(shù)值模擬與試驗(yàn)研究[D];哈爾濱工業(yè)大學(xué);2007年

相關(guān)碩士學(xué)位論文 前10條

1 呼志強(qiáng);燃?xì)庹{(diào)壓器流量系數(shù)及靜態(tài)特性的研究[D];天津大學(xué);2010年

2 杜毅;燃?xì)庹{(diào)壓器在線安全預(yù)警技術(shù)研究[D];北京建筑大學(xué);2013年

3 黃桂華;基于壓縮感知的電動(dòng)燃?xì)庹{(diào)壓器氣壓檢測研究[D];重慶大學(xué);2015年

4 孟普;面向燃?xì)怆妱?dòng)調(diào)壓的PID神經(jīng)網(wǎng)絡(luò)控制系統(tǒng)設(shè)計(jì)與FPGA實(shí)現(xiàn)[D];重慶大學(xué);2015年

5 楊蒙;燃?xì)庹{(diào)壓器故障診斷研究[D];北京建筑工程學(xué)院;2012年

6 楊國斌;中低壓燃?xì)庹{(diào)壓器故障診斷與安全預(yù)警系統(tǒng)構(gòu)建[D];北京建筑大學(xué);2014年

7 潘頌哲;燃?xì)庹{(diào)壓器性能檢測裝置的研制[D];中國計(jì)量學(xué)院;2014年

8 黃敏;燃?xì)庹{(diào)壓器自動(dòng)選型系統(tǒng)設(shè)計(jì)與實(shí)現(xiàn)[D];西南交通大學(xué);2008年

9 王帆;電動(dòng)燃?xì)庹{(diào)壓器氣壓檢測的信息融合研究[D];重慶大學(xué);2014年

10 景濤;西安燃?xì)饪偣久芗统砷L戰(zhàn)略研究[D];西北大學(xué);2005年

，

本文編號：2415873