Designed Soft Sensor of the Cell Concentration Using Neural Networks

Abstract:

Artificial Neural Networks have been used for a wide variety of chemical applications because of their ability to learn system features.This paper presents the use of BP neural networks for soft senor of the cell concentration.For microbial concentration in fermentation process of the problem of real-time online detection,from the perspective of biological cell metabolism in the process of fermentation were analyzed by the correlation of metabolic parameters,then these parameters as the input variables, established the cell concentration BP neural network model of soft senor for biomass parameters detection in complex system.The simulation results show that the soft senor method has highly accuracy and can well applied in the biological fermentation process.

• Periodical: Applied Mechanics and Materials (Volumes 556-562)
• Pages: 6167-6170
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.556-562.6167
• Online since: May 2014
• Authors: Hua Meng*, Yan Ju Zhang, Yue Ying Wang
• Keywords: BP Network, Cell Concentration, Soft Senor Model

References

[1] Qi.D. Yang: Based on the improved the fermentation process of series hybrid modeling method bacteria concentration soft measurement. Chinese Journal of Scientific Instrument. Vol. 32 (2011), pp.206-211.

[2] Ma.L. Czuk: Modeling and nonlinear predictive control of a yeast fermentation biochemical reactor using neural networks. Chemical Engineering Journal. Vol. 145 (2008) , pp.290-307.

DOI: 10.1016/j.cej.2008.08.005

[3] Si.L. Daniel: Dynamic hybrid neural network model of an industrial fed-batch fermentation process to produce foreign protein. Computers and Chemical Engineering. Vol. 31(2007), pp.163-170.

DOI: 10.1016/j.compchemeng.2006.05.018

[4] Xi.D. Yan, We. Yang: Soft sensor for Ammonia concentration at the Ammonia converter outlet based on an improved Group Search Optimization and BP Neural Network. Chinese Journal of Chemical Engineering. Vol. 20(2012), pp.1184-1190.

DOI: 10.1016/s1004-9541(12)60606-5

[5] Zo. K. Nagy: Model based control of a yeast fermentation bioreactor using optimally designed artificial neural networks. Chemical Engineering Journal. Vol. 145 (2008), pp.290-307.

DOI: 10.1016/j.cej.2006.10.015

[6] Mi.H. Qiang: Based on RBF neural network in the fermentation process of bacteria concentrati- on of soft measurement. Automation & Instrumentation. Vol. 160(2012), pp.178-181.

[7] Qi.Z. Liu: Soft measurement model of the FCCU balance catalyst activity Design and its appli- cation in DCS. Petrochemical industry automation. Vol. 5(1999), pp.40-42.

[8] S. He,Q.H. Wu,J.R. Saunders, Group search optimizer: an optimization algorithm inspired by ani- mal searching behavior. Transaction on Evolutionary Computation. Vol. 13(2009), pp.973-990.

DOI: 10.1109/tevc.2009.2011992