本文選題：循環(huán)流化床　切入點(diǎn)：PSO算法　出處：《華北電力大學(xué)》2016年碩士論文　論文類型：學(xué)位論文

【摘要】：循環(huán)流化床鍋爐技術(shù)是一種重要的清潔燃煤技術(shù),具有良好的經(jīng)濟(jì)性和環(huán)保性。與普通煤粉爐的燃燒系統(tǒng)相比,循環(huán)流化床鍋爐具有一定的特殊性,其對象機(jī)理較為復(fù)雜,機(jī)理建模方法基本不可行。但如果要實(shí)現(xiàn)對循環(huán)流化床鍋爐燃燒系統(tǒng)的高水準(zhǔn)控制,建立準(zhǔn)確的對象模型是其前提條件,這就不僅需要對循環(huán)流化床鍋爐燃燒系統(tǒng)的特性有比較完整的了解,并且要結(jié)合有效的數(shù)據(jù)分析手段。結(jié)合上述分析,本文主要完成下面三個(gè)方面的研究。為實(shí)現(xiàn)高精度的燃燒系統(tǒng)建模,需要運(yùn)用優(yōu)秀的數(shù)據(jù)分析與優(yōu)化手段,PSO算法是其中較為優(yōu)秀的一種。但經(jīng)典的PSO算法存在容易陷入局部最優(yōu)和局部搜索精度低的問題,本文對這兩種問題的出現(xiàn)進(jìn)行深刻剖析,在機(jī)理分析的基礎(chǔ)上設(shè)計(jì)了一種改進(jìn)的PSO算法,仿真驗(yàn)證其在一定程度上解決了經(jīng)典PSO算法存在的缺陷。通過對循環(huán)流化床鍋爐燃燒系統(tǒng)特性的分析,在現(xiàn)場運(yùn)行數(shù)據(jù)中選取適合用于辨識給煤量與床溫、一次風(fēng)量與床溫對象模型的數(shù)據(jù)�；诟倪M(jìn)的PSO算法,分別建立滿負(fù)荷,百分之九十負(fù)荷,百分之八十負(fù)荷,百分之六十負(fù)荷這四種工況下的給煤量與床溫、一次風(fēng)量與床溫的傳遞函數(shù)模型。根據(jù)得到的不同工況下的一次風(fēng)量與床溫的傳遞函數(shù)模型,分別對典型工況的一次風(fēng)量控制床溫的PID控制系統(tǒng)的進(jìn)行了PID參數(shù)整定并進(jìn)一步建立基于隸屬度函數(shù)的多PID融合控制系統(tǒng),仿真結(jié)果表明,該系統(tǒng)較單PID控制有更加優(yōu)異的控制品質(zhì)。
[Abstract]:Circulating fluidized bed boiler (CFB) is an important clean coal burning technology with good economy and environmental protection. Compared with the combustion system of ordinary pulverized coal boiler, CFB boiler has some particularity and complex object mechanism. The mechanism modeling method is basically not feasible, but if the high level control of CFB boiler combustion system is to be realized, the establishment of accurate object model is the precondition. This not only requires a relatively complete understanding of the characteristics of the CFB boiler combustion system, but also combines effective data analysis methods. In this paper, the following three aspects of research are mainly completed. In order to achieve high precision combustion system modeling, PSO algorithm is one of the best ones, but the classical PSO algorithm is easy to fall into the local optimum and the local search accuracy is low. This paper makes a deep analysis of these two kinds of problems. On the basis of mechanism analysis, an improved PSO algorithm is designed, and the simulation results show that it solves the defects of classical PSO algorithm to some extent. The data suitable for identifying the object models of coal feed and bed temperature, primary air flow and bed temperature are selected from the field operation data. Based on the improved PSO algorithm, the full load, 90% load and 80% load are established, respectively. The transfer function model of coal supply and bed temperature, primary air volume and bed temperature under four working conditions of 60% load. According to the transfer function model of primary air volume and bed temperature under different working conditions, The PID control system of primary air volume control bed temperature under typical working conditions is adjusted by PID parameters, and a multi-#en2# fusion control system based on membership function is established. The system has better control quality than single PID control.
【學(xué)位授予單位】：華北電力大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2016
【分類號】：TK229.66

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 劉吉臻;洪烽;呂游;楊婷婷;高明明;;循環(huán)流化床鍋爐床溫動態(tài)模型[J];中國電機(jī)工程學(xué)報(bào);2016年08期

2 楊智;陳穎;;改進(jìn)粒子群算法及其在PID整定中的應(yīng)用[J];控制工程;2016年02期

3 岳光溪;呂俊復(fù);徐鵬;胡修奎;凌文;陳英;李建鋒;;循環(huán)流化床燃燒發(fā)展現(xiàn)狀及前景分析[J];中國電力;2016年01期

4 郭偉;陳琛;陸振宇;周麗;郁振波;;循環(huán)流化床鍋爐床溫GPC-PID控制[J];熱力發(fā)電;2015年10期

5 陳建飛;;600MW機(jī)組一次風(fēng)機(jī)故障分析及處理[J];華電技術(shù);2015年06期

6 白建云;尹二新;李春暉;;基于PID的模糊內(nèi)模控制在爐內(nèi)脫硫系統(tǒng)控制中的應(yīng)用[J];熱力發(fā)電;2015年01期

7 朱昊凌;趙明;賽俊聰;李恒陽;吳軍汝;;300MW循環(huán)流化床鍋爐床溫階躍特性分析[J];電站系統(tǒng)工程;2014年06期

8 陳哲盼;焦嵩鳴;;大滯后系統(tǒng)的專家-模糊PID控制器設(shè)計(jì)[J];計(jì)算機(jī)仿真;2014年11期

9 李偉;李詩媛;徐明新;王昕;呂清剛;;循環(huán)流化床富氧燃燒SO_2排放和石灰石脫硫特性研究[J];中國電機(jī)工程學(xué)報(bào);2014年23期

10 吳W，

本文編號：1615104