State estimation and predictive control of fed-batch cultures of hybridoma cells. (June 2015)

• Record Type: Journal Article
• Authors: Dewasme, L.; Fernandes, S.; Amribt, Z.; Santos, L.O.; Bogaerts, Ph.; Vande Wouwer, A.
• Is Part Of: Journal of process control. Volume 30(2015:Jun.)
• Page Start: 50
• Page End: 57
• Publication Date: 2015-06
• Subjects: Hybridoma cultures -- Nonlinear model predictive control -- Unscented Kalman filtering -- Biotechnology; Process control -- Periodicals; Fabrication -- Contrôle -- Périodiques; Process control; Periodicals; Electronic journals; 660.281
• DOI: 10.1016/j.jprocont.2014.12.006
• Languages: English
• ISSNs: 0959-1524

Abstract

Abstract : Highlights: Application of nonlinear model predictive control (NMPC) to hybridoma cells. Observation of non-measurable states (glucose, glutamine) using unscented Kalman filter (UKF). Robustness to model uncertainties thanks to a minimax original NMPC algorithm. Combination of the closed-loop NMPC using UKF outputs. Abstract: 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.