Adaptive set-point control system for microbial cultivation processes
Author(s) -
Donatas Levišauskas,
Rimvydas Simutis,
Vytautas Galvanauskas
Publication year - 2016
Publication title -
nonlinear analysis modelling and control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.734
H-Index - 32
eISSN - 2335-8963
pISSN - 1392-5113
DOI - 10.15388/na.2016.2.1
Subject(s) - control theory (sociology) , set point , controller (irrigation) , operating point , adaptive control , control system , adaptation (eye) , process (computing) , nonlinear system , process control , control engineering , bioreactor , automatic control , computer science , robust control , control (management) , nonlinear control , engineering , artificial intelligence , chemistry , operating system , agronomy , physics , electrical engineering , optics , organic chemistry , quantum mechanics , biology
. A control system for set-point control of microbial cultivation process parameters is developed, in which a tendency model is applied for controller adaptation to process nonlinearity and time-varying operating conditions. The tendency model is updated on-line and introduced into control algorithm for prediction of steady-state control action and returning of feedback controller. The control system was tested for controlling dissolved oxygen concentration in batch operating mode bioreactor under extreme operating conditions. In simulation experiments, the control system demonstrates fast adaptation, robust behaviour and significant improvement in control performance compared to that of fixed gain controller.
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