【作者】 王丹；

【导师】 徐恭贤；

【作者基本信息】 渤海大学 ， 应用数学， 2018， 硕士

【摘要】 1,3-丙二醇是一种化工原料,其应用领域十分广泛。近年来,甘油歧化生产1,3-丙二醇的过程也愈加受到关注。针对该发酵过程,应构造与其特点相适应的优化模型,并利用适当的优化方法,为实际生产1,3-丙二醇的优化过程提供有利的理论指导。本文主要对生产1,3-丙二醇过程的动态优化问题进行研究。针对微生物流加发酵过程,分别构建了不同的与其特点相适应的动态优化模型,再采用有限元配置法对其求解。本文的研究内容及所得结果主要分为两个部分:1.针对微生物流加发酵过程,分别建立了以1,3-丙二醇终端时刻浓度和1,3-丙二醇终端时刻单位产率为目标函数的单目标动态优化模型。利用有限元配置法对构建的优化模型进行求解,得到了目标函数最优解及变量最优值,进一步分析所得优化结果。2.针对微生物流加发酵过程,综合考虑1,3-丙二醇终端时刻浓度和甘油转化率两种因素,在终端时刻是固定的前提下,建立了多目标动态优化模型。利用?约束法和有限元配置法,将多目标动态优化问题转换为单目标动态优化问题并求得最优解。更多还原

【Abstract】 1,3-propanediol is a chemical raw material,which has a wide range of applications.Recently,the process of glycerol disproportionation of 1,3-propanediol is also receiving increasing attention.For this fermentation process,an optimization model adapted to its characteristics should be constructed,and appropriate optimization methods should be used to provide theoretical guidance for the production process of 1,3-propanediol.This dissertation mainly studies the dynamic optimization of the process of producing 1,3-propanediol.For the microbial fed-batch fermentation process,different dynamic optimization models adapted to their characteristics were constructed and then solved by collocation on finite elements method.The research content and results of this paper are mainly divided into two parts:1.For the microbial fed-batch fermentation process,the terminal time product 1,3-propanediol concentration or the terminal time product 1,3-propanediol production rate as the objective function,established single-objective dynamic optimization model.The proposed optimization models are solved by using collocation on finite elements method.The optimal solution of the objective function and the optimal value of the variable were obtained.Then the optimization results are analyzed.2.For the microbial fed-batch fermentation process,the multi-objective dynamic optimization model was established based on the concentration of terminal product 1,3-propanediol and the percent conversion of glycerol under the premise of terminal time being fixed.Using the constraint method and collocation on finite elements method,the multi-objective dynamic optimization problem is converted into a single-objective dynamic optimization problem and an optimal solution is obtained.更多还原