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間歇模擬移動(dòng)床的優(yōu)化控制

發(fā)布時(shí)間:2019-05-23 21:05
【摘要】:隨著模擬移動(dòng)床色譜分離技術(shù)的發(fā)展,其在石油化工、制糖工業(yè)以及藥材制作等方面得到了廣泛的應(yīng)用。近年來(lái)為了進(jìn)一步提高模擬移動(dòng)床的分離效果,國(guó)外研究者提出了間歇模擬移動(dòng)床。由于間歇模擬移動(dòng)床的設(shè)計(jì)結(jié)構(gòu)簡(jiǎn)單、成本低,并且比常規(guī)的模擬移動(dòng)床具有更高的分離性能和生產(chǎn)率,因此對(duì)間歇模擬移動(dòng)床的色譜分離過(guò)程的優(yōu)化不僅有著重要的理論價(jià)值,還對(duì)實(shí)際應(yīng)用起到重要的作用。對(duì)間歇模擬移動(dòng)床分離過(guò)程的優(yōu)化問(wèn)題已經(jīng)成為重點(diǎn)研究對(duì)象。本文采用改進(jìn)移動(dòng)漸近線算法對(duì)間歇模擬移動(dòng)床進(jìn)行操作過(guò)程優(yōu)化,通過(guò)在線優(yōu)化控制的方法對(duì)間歇模擬移動(dòng)床的提取液純度、提余液純度、生產(chǎn)率和溶劑消耗等方面進(jìn)行仿真分析,并通過(guò)三角理論證明其可行性,同時(shí)將改進(jìn)移動(dòng)漸近線算法的優(yōu)化結(jié)果與NSGA-Ⅱ算法的優(yōu)化結(jié)果進(jìn)行比較。最后將改進(jìn)移動(dòng)漸近線算法分別應(yīng)用到模擬移動(dòng)床與間歇模擬移動(dòng)床進(jìn)行仿真研究,并對(duì)結(jié)果進(jìn)行對(duì)比分析。本文工作包括:(1)詳述了模擬移動(dòng)床的發(fā)展歷程,國(guó)內(nèi)外研究現(xiàn)狀和間歇模擬移動(dòng)床色譜分離的基本原理以及常用的色譜模型。(2)在平衡擴(kuò)散模型的基礎(chǔ)上,采用隱式差分法對(duì)其進(jìn)行求解,并應(yīng)用MATLAB軟件進(jìn)行仿真研究。(3)為了提高間歇模擬移動(dòng)床的分離性能,本文采用了改進(jìn)移動(dòng)漸近線算法,通過(guò)在線優(yōu)化控制策略來(lái)研究最大化提取液純度和提余液純度、最大化生產(chǎn)率和最小化溶劑消耗等問(wèn)題。并用三角理論進(jìn)行可行性分析,然后將改進(jìn)移動(dòng)漸近線算法與NSGA-Ⅱ算法的仿真結(jié)果進(jìn)行比較討論。最后將改進(jìn)移動(dòng)漸近線算法分別應(yīng)用到模擬移動(dòng)床與間歇模擬移動(dòng)床進(jìn)行仿真研究,并對(duì)結(jié)果進(jìn)行對(duì)比分析。
[Abstract]:With the development of simulated moving bed chromatography, it has been widely used in petrochemical industry, sugar industry and medicinal material production. In recent years, in order to further improve the separation effect of simulated moving bed, foreign researchers have proposed intermittent simulated moving bed. Because the design structure of intermittent simulated moving bed is simple, the cost is low, and it has higher separation performance and productivity than the conventional simulated moving bed. Therefore, the optimization of chromatographic separation process of intermittent simulated moving bed not only has important theoretical value, but also plays an important role in practical application. The optimization of intermittent simulated moving bed separation process has become the focus of research. In this paper, the improved moving asymptote algorithm is used to optimize the operation process of the intermittent simulated moving bed, and the purity of the extract and the residual liquid of the intermittent simulated moving bed are optimized by the method of on-line optimization control. The productivity and solvent consumption are simulated and analyzed, and its feasibility is proved by trigonometric theory. At the same time, the optimization results of the improved moving asymptote algorithm are compared with those of NSGA- II algorithm. Finally, the improved moving asymptote algorithm is applied to the simulation of simulated moving bed and intermittent simulated moving bed respectively, and the results are compared and analyzed. The work of this paper includes: (1) the development of simulated moving bed, the research status at home and abroad, the basic principle of intermittent simulated moving bed chromatography separation and the commonly used chromatographic models are described in detail. (2) on the basis of equilibrium diffusion model, The implicit difference method is used to solve it, and the simulation is carried out by MATLAB software. (3) in order to improve the separation performance of intermittent simulated moving bed, an improved moving asymptote algorithm is adopted in this paper. Through the on-line optimization control strategy, the problems of maximizing the purity of extract and residual liquid, maximizing productivity and minimizing solvent consumption are studied. The feasibility of the improved moving asymptote algorithm is analyzed by trigonometric theory, and the simulation results of the improved moving asymptote algorithm and NSGA- II algorithm are compared and discussed. Finally, the improved moving asymptote algorithm is applied to the simulation of simulated moving bed and intermittent simulated moving bed respectively, and the results are compared and analyzed.
【學(xué)位授予單位】:遼寧科技大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類(lèi)號(hào)】:O652.6

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