FENG Qiangqiang, PAN Yulin, CHENG Baokun, et al. Key variables prediction based on mechanism models of 2-KGA mixed culture fermentation[J]. CIESC Journal, 2013, (8): 2913-2917.
is produced by the mixed culture of Ketogulonicigenium vulgare and Bacillus megaterium.In this paper
the previously established kinetic model for 2-KGA mixed culture was firstly tested with the data of 80 industrial batches.Based on sensitivity analysis
it was found that some insensitive parameters might be assigned fixed values to minimize computing time.Then
the model was used to predict the most important state variables
i.e.
substrate and product concentrations.Moving data window technique and rolling parameter identification approach were used in the prediction process.4 h and 8 h ahead prediction errors for 2-KGA concentration were less than 5%.