本文關(guān)鍵詞： 循環(huán)流化床 爐內(nèi)脫硫 建模 仿真優(yōu)化　出處：《山西大學(xué)》2015年碩士論文　論文類(lèi)型：學(xué)位論文

【摘要】：循環(huán)流化床燃燒技術(shù)是一種清潔煤燃燒技術(shù),該技術(shù)以其較好的經(jīng)濟(jì)效益與環(huán)境效益得到了廣泛的推廣,但其爐內(nèi)脫硫控制系統(tǒng)發(fā)展相對(duì)落后,在如今的國(guó)內(nèi)國(guó)際形勢(shì)下,傳統(tǒng)控制方式已經(jīng)不能滿足控制要求。循環(huán)流化床爐內(nèi)脫硫系統(tǒng)具有純遲延、大慣性、參數(shù)時(shí)變的特點(diǎn),真正的實(shí)現(xiàn)自動(dòng)控制較為困難,而且,2011年國(guó)家環(huán)保部門(mén)進(jìn)一步加強(qiáng)對(duì)污染物排放的控制力度,傳統(tǒng)爐內(nèi)脫硫控制系統(tǒng)的優(yōu)化升級(jí)迫在眉睫。根據(jù)當(dāng)今形式,本文介紹了循環(huán)流化床爐內(nèi)脫硫的反應(yīng)機(jī)理,分析了影響爐內(nèi)脫硫效率的各個(gè)因素,根據(jù)各個(gè)因素在爐內(nèi)脫硫反應(yīng)中的對(duì)脫硫效率的影響大小,選擇控制系統(tǒng)控制量；對(duì)系統(tǒng)加入控制量的階躍擾動(dòng),根據(jù)系統(tǒng)響應(yīng),分別應(yīng)用窮舉法和粒子群法對(duì)爐內(nèi)脫硫系統(tǒng)進(jìn)行試驗(yàn)建模,為今后循環(huán)流化床機(jī)組試驗(yàn)建模提供參考。根據(jù)試驗(yàn)建模模型,本文從兩個(gè)方面出發(fā),對(duì)爐內(nèi)脫硫系統(tǒng)進(jìn)行控制優(yōu)化。從傳統(tǒng)控制方式的控制器參數(shù)優(yōu)化出發(fā),本文提出了應(yīng)用粒子群尋優(yōu)的方法,對(duì)傳統(tǒng)PID控制器參數(shù)進(jìn)行優(yōu)化,并分別對(duì)單工況和全工況進(jìn)行了優(yōu)化仿真；從先進(jìn)控制策略的應(yīng)用出發(fā),本文應(yīng)用內(nèi)�？刂啤⒛：刂�、內(nèi)模PID等效等方法,提出了一種自適應(yīng)的內(nèi)�？刂扑惴�,并應(yīng)用該算法對(duì)爐內(nèi)脫硫過(guò)程模型進(jìn)行了控制仿真。
[Abstract]:Circulating fluidized bed (CFB) combustion technology is a clean coal combustion technology, which has been widely popularized for its good economic and environmental benefits. However, the development of desulfurization control system in the furnace is relatively backward. The traditional control method can no longer meet the control requirements. Due to the characteristics of pure delay, large inertia and time-varying parameters, it is difficult to realize automatic control in circulating fluidized bed furnace desulfurization system. Moreover, in 2011, the national environmental protection department further strengthened the control of pollutant emission, and the optimization and upgrading of the traditional desulfurization control system in the furnace is urgent. According to the present situation, the reaction mechanism of desulfurization in circulating fluidized bed furnace is introduced in this paper. The factors influencing the desulfurization efficiency in the furnace are analyzed. According to the influence of each factor on the desulfurization efficiency in the furnace, the control system control quantity is selected, and the step disturbance of the control quantity is added to the system according to the system response. The exhaust method and particle swarm optimization method are used to model the desulphurization system in the furnace respectively, which provides a reference for the test modeling of CFB units in the future. According to the experimental modeling model, this paper starts from two aspects. The control optimization of desulphurization system in furnace is carried out. Based on the optimization of controller parameters of traditional control mode, the particle swarm optimization method is proposed in this paper to optimize the parameters of traditional PID controller. Based on the application of advanced control strategy, this paper presents an adaptive internal model control algorithm based on internal model control, fuzzy control and PID equivalence of internal model. The control simulation of desulphurization process model in furnace is carried out by using this algorithm.
【學(xué)位授予單位】：山西大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類(lèi)號(hào)】：TK223.7

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