Paper Info
Title
A multistage system of microbial fed-batch fermentation and its parameter identification
Abstract
In fed-batch fermentation of glycerol bio-dissimilation to 1,3-propanediol (1,3-PD) by Klebsiella pneumoniae, glycerol and alkali are fed into the reactor to provide nutrient and maintain a suitable environment for cells growth. Taking the feeding process as a time-continuous process, we present a nonlinear multistage dynamical system to formulate the fed-batch fermentation. In view of the big errors between experimental data and computational values, a parameter identification model is established. Finally, an improved Nelder-Mead simplex search method is developed to seek the unknown parameters in the model. Numerical simulations show that the multistage dynamical system can describe the fed-batch process better, compared with the previous results.
Year
DOI
Venue
2010
10.1016/j.matcom.2009.12.011
Mathematics and Computers in Simulation
Keywords
Field
DocType
feeding process,nonlinear multistage dynamical system,microbial fed-batch fermentation,fed-batch fermentation,fed-batch process,parameter identification model,optimization algorithm,big error,parameter identification,multistage system,multistage dynamical system,time-continuous process,glycerol bio-dissimilation,klebsiella pneumoniae
Mathematical optimization,Nonlinear system,Glycerol,Simplex,Optimization algorithm,Fermentation,Dynamical system,Mathematics
Journal
Volume
Issue
ISSN
80
9
Mathematics and Computers in Simulation
Citations 
PageRank 
References 
4
0.48
0
Authors
1
Name
Order
Citations
PageRank
Zhaohua Gong1225.31