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Adaptive extremum seeking control of continuous stirred‐tank bioreactors
Author(s) -
Zhang T.,
Guay M.,
Dochain D.
Publication year - 2003
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.690490111
Subject(s) - control theory (sociology) , bioreactor , lyapunov function , controller (irrigation) , adaptive control , stability (learning theory) , continuous stirred tank reactor , engineering , lyapunov stability , control (management) , nonlinear system , computer science , control engineering , chemistry , physics , chemical engineering , organic chemistry , quantum mechanics , artificial intelligence , machine learning , agronomy , biology
An adaptive extremum‐seeking control scheme for continuous stirred‐tank bioreactors is proposed which utilizes the structure information of the kinetics of bioreactors to construct a seeking algorithm that drives the system states to the desired setpoints that optimize the value of an objective function. Lyapunov's stability theorem is used in the design of the extremum‐seeking controller stucture and the development of the parameter learning laws. Numerical simulations illustrate the effectiveness of this approach.