Modeling and estimation of production rate for the production phase of non-growth-associated high cell density processes

被引:5
作者
Jamilis, Martin [1 ]
Garelli, Fabricio [1 ]
Mozumder, Md Salatul Islam [2 ,3 ]
Castaneda, Teresita [4 ]
De Battista, Hernan [1 ]
机构
[1] La Plata Natl Univ, Grp Control Applicat, LEICI, Fac Engn,CONICET, RA-1900 La Plata, Buenos Aires, Argentina
[2] Univ Ghent, Dept Biosyst Engn, B-9000 Ghent, Belgium
[3] Flemish Inst Technol Res VITO, Business Unit Separat & Convers Technol, B-2400 Mol, Belgium
[4] La Plata Natl Univ, Res & Dev Ctr Ind Fermentat CINDEFI, Sch Sci, CONICET, RA-1900 La Plata, Buenos Aires, Argentina
关键词
Observer; Sliding mode; High cell density; Estimation; Volume model; RHODOSPORIDIUM-TORULOIDES Y4; FED-BATCH PROCESSES; KINETIC RATES; OBSERVER; POLYHYDROXYALKANOATES; CULTIVATION; CULTURE;
D O I
10.1007/s00449-015-1430-7
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
This paper addresses the estimation of the specific production rate of intracellular products and the modeling of the bioreactor volume dynamics in high cell density fed-batch reactors. In particular, a new model for the bioreactor volume is proposed, suitable to be used in high cell density cultures where large amounts of intracellular products are stored. Based on the proposed volume model, two forms of a high-order sliding mode observer are proposed. Each form corresponds to the cases with residual biomass concentration or volume measurement, respectively. The observers achieve finite time convergence and robustness to process uncertainties as the kinetic model is not required. Stability proofs for the proposed observer are given. The observer algorithm is assessed numerically and experimentally.
引用
收藏
页码:1903 / 1914
页数:12
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