State estimation and predictive control of fed-batch cultures of hybridoma cells

被引:29
作者
Dewasme, L. [1 ]
Fernandes, S. [1 ]
Amribt, Z. [2 ]
Santos, L. O. [3 ]
Bogaerts, Ph. [2 ]
Vande Wouwer, A. [1 ]
机构
[1] Univ Mons, Biosci Inst, BioSys Ctr, Control Dept, B-7000 Mons, Belgium
[2] Univ Libre Bruxelles, Brussels Sch Engn, BioControl 3BIO, B-1050 Brussels, Belgium
[3] Univ Coimbra, Fac Sci & Technol, Dept Chem Engn, CIEPQPF, P-3000 Coimbra, Portugal
关键词
Hybridoma cultures; Nonlinear model predictive control; Unscented Kalman filtering; Biotechnology; EXTENDED KALMAN FILTER; OVERFLOW METABOLISM; NONLINEAR-SYSTEMS; SACCHAROMYCES-CEREVISIAE; SOFTWARE SENSORS; MODEL; OPTIMIZATION; CULTIVATION; GLUCOSE; OBSERVABILITY;
D O I
10.1016/j.jprocont.2014.12.006
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Fed-batch cultures of hybridoma cells are commonly used for the production of monoclonal antibodies (MAb). In this study, a simple macroscopic model of the cell culture is used, which is based on the overflow metabolism paradigm. This allows to specify optimal culture conditions, and the natural formulation of a nonlinear model predictive control strategy (NMPC). As not all the component concentrations are available for measurement, system observability is analyzed, and an unscented Kalman filter (UKF) is designed, which provides satisfactory estimates of glucose and glutamine concentrations. Robustness of the NMPC scheme is investigated, as well as the combined UKF+NMPC scheme, through a minimax robust version and the closed-loop system. (C) 2014 Elsevier Ltd. All rights reserved.
引用
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页码:50 / 57
页数:8
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