Dynamic Optimization For A Class Of Microbial Fed-batch Fermentation Process

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.