Authors:
Laurent Dewasme
1
;
Alain Vande Wouwer
1
and
Daniel Coutinho
2
Affiliations:
1
Université de Mons, Belgium
;
2
PUCRS, Brazil
Keyword(s):
Nonlinear robust control, Adaptive control, Fermentation process, Biotechnology.
Related
Ontology
Subjects/Areas/Topics:
Adaptive Signal Processing and Control
;
Environmental Monitoring and Control
;
Informatics in Control, Automation and Robotics
;
Nonlinear Signals and Systems
;
Signal Processing, Sensors, Systems Modeling and Control
Abstract:
Linearizing control is a popular approach to control bioprocesses, which has received considerable attention is the past several years. This control approach is however quite sensitive to modeling uncertainties, thus requiring some on-line parametric adaptation so as to ensure performance. In this study, this usual adaptive strategy is compared in terms of implementation and performance to a robust strategy, where the controller has a fixed parametrization which is determined using a LMI framework so as to ensure robust stability and performance. Fed-batch cultures of yeast and bacteria are considered as application examples.