GMA system and parameter identification for a class of microbial continuous fermentation process

Abstract

Abstract: The mathematical modeling and parameter identification of a class of microbial continuous fermentation processes are studied here. The mathematical model of the GMA system for the continuous microbial fermentation process is proposed, and its mathematical properties of the system are also presented. The parameter identification model is constructed by minimizing the squared error sum between the experimental steady-state data and calculated values of state variables. Based on the equivalent logarithmic transformation and SQP algorithm, a solution method for the parameter identification model is proposed. The optimal parameter values are obtained through the calculation. Compared with the existing error results in the literature, this approach achieves smaller concentration error value.

Key words: continuous fermentation, GMA system, 1,3-propanediol, parameter identification

CLC Number:

ZHAO Ya-zhi, XU Gong-xian. GMA system and parameter identification for a class of microbial continuous fermentation process[J]. Journal of Lanzhou University of Technology, 2024, 50(4): 153-158.

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