Parameter Identification For Batch Bio-dissimilation Process Of Glycerol

The batch bio-dissimilation process of glycerol to 1, 3-propanediol is a complex microbial fermentation system. It is necessary to not only consider the interaction between the substrate and product concentrations, but also research the consumption rate of substrate and formation rate of products. It is also important to address the balanced growth kinetics for batch bio-dissimilation process of glycerol to 1, 3-propanediol.This dissertation mainly addresses the problems of parameter identification for batch bio-dissimilation process of glycerol to 1, 3-propanediol. Several parameter identification models that are suitable to these problems are established and are solved by the efficient optimization methods.The main contents and conclusions of this thesis are as follows:1. Considering the least-square error criterion, the slop error criterion and the sum of the least-square error criterion and slop error criterion of biomass, glycerol, 1, 3-propanediol, acetic acid and ethanol, respectively, three parameter identification models for the excess kinetics of batch bio-dissimilation process of glycerol to 1, 3-propanediol are first established. Then cubic spline interpolation is used to estimate the slope of the experimental data. A genetic algorithm is applied to solve the proposed parameter identification problems. Finally, the results analysis is given.2. Considering the least-square error criterion of biomass, glycerol, 1, 3-propanediol, acetic acid and ethanol, a parameter identification model for the balanced growth kinetics of batch bio-dissimilation process of glycerol to 1, 3-propanediol are first established. Then an interior point approach is used to solve the proposed parameter identification problem. Finally, the results analysis is shown.