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Adaptive control of dissolved oxygen concentration in a bioreactor
Author(s) -
Lee Seung Chul,
Hwang Young Bo,
Chang Ho Nam,
Chang Yong Keun
Publication year - 1991
Publication title -
biotechnology and bioengineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.136
H-Index - 189
eISSN - 1097-0290
pISSN - 0006-3592
DOI - 10.1002/bit.260370702
Subject(s) - control theory (sociology) , pid controller , controller (irrigation) , adaptive control , kalman filter , limiting oxygen concentration , computer science , volumetric flow rate , estimation theory , bioreactor , recursive least squares filter , adaptive filter , control (management) , chemistry , algorithm , oxygen , control engineering , temperature control , engineering , mechanics , artificial intelligence , agronomy , physics , organic chemistry , biology
A new adaptive DO (dissolved oxygen) concentration control algorithm considering DO electrode dynamics with response time delay has been developed. A system model with two time‐varying parameters was used to relate the DO concentration with two control variables: air flow rate and agitation speed. Parameters of this model were estimated on‐line using a regularized constant trace recursive least‐squares method. An extended Kalman filter was used to remove the effect of noises from the DO concentration measurements and thus to improve control performance. A discrete one‐step ahead control scheme was adopted to determine control actions based on the parameter estimation results. Experimental results showed that the new adaptive DO concentration control algorithm performed better than other algorithms tested, a PID controller and adaptive algorithms without the DO electrode dynamics.