Dynamic Optimization Of A Class Of Microbial Fermentation Process

At present, the research on the microbial fermentation process of glycerol to 1, 3-propanediol has been attracted more and more attention by the scholars. However, it is a nonlinear system that is difficult to optimize. Thus, it is necessary to develop and establish those optimization model and optimization methods that are suitable for this class of process. This will provide a theoretical guidance for the fermentation optimization of bio-dissimilation process of glycerol to 1, 3-propanediol.This dissertation mainly addresses the problems of dynamic optimization for microbial batch fermentation process of glycerol to 1, 3-propanediol. Several dynamic optimization models that are suitable for these problems are established. And collocation on finite elements method is used to solve these optimization models.The main contents of this dissertation and the main results obtained are as follows:1. Considering 1, 3-propanediol concentration at terminal time, the productivity of 1, 3-propanediol at terminal time in terms of the fixed or variable terminal time, three single-objective dynamic optimization models for bio-dissimilation process of glycerol to 1, 3-propanediol are first established. Then the proposed optimization models are solved by applying collocation on finite elements method. Finally, the obtained optimization results are analyzed.2. Considering 1, 3-propanediol concentration at terminal time, the productivity of 1, 3-propanediol at terminal time, and the conversion rate of glycerol in terms of the fixed or variable terminal time, three multi-objective dynamic optimization models for bio-dissimilation process of glycerol to 1, 3-propanediol are first established. Then the proposed optimization models are transformed into the corresponding single-objective optimization problems by using e constraint method. And the attained single-objective optimization problems are solved through using the collocation on finite elements method. Finally, the obtained optimization results are analyzed.