DocumentCode :
3492576
Title :
Distributed parameter bioprocess plant identification and I-term control using centralized recurrent neural network models
Author :
Baruch, Ieroham S. ; Saldierna, Eloy E. ; Castillo, Oscar
Author_Institution :
Dept. of Autom. Control, IPN, Mexico City, Mexico
fYear :
2011
fDate :
July 31 2011-Aug. 5 2011
Firstpage :
267
Lastpage :
274
Abstract :
In the paper, it is proposed to use a recurrent neural network model, and a real-time Levenberg-Marquardt algorithm of its learning for centralized data-based modeling, identification and control of an anaerobic digestion bioprocess, carried out in a fixed bed and a recirculation tank of a wastewater treatment system. The analytical model of the digestion bioprocess, used as process data generator, represented a distributed parameter system, which is reduced to a lumped system using the orthogonal collocation method, applied in four collocation points plus one- in the recirculation tank. The paper proposed to use three types of I-term adaptive control: direct adaptive integral plus states neural control, indirect adaptive I-term sliding mode control and real-time I-term optimal control. The comparative graphical simulation results of the digestion wastewater treatment system control, exhibited a good convergence and precise reference tracking, giving slight priority to the direct control with respect to the other methods of control applied.
Keywords :
adaptive control; biotechnology; centralised control; distributed parameter systems; neurocontrollers; recurrent neural nets; variable structure systems; wastewater treatment; anaerobic digestion bioprocess; centralized data-based modeling; centralized recurrent neural network models; comparative graphical simulation; digestion wastewater treatment system control; direct adaptive integral plus states neural control; distributed parameter bioprocess plant identification; fixed bed tank; indirect adaptive I-term sliding mode control; lumped system; orthogonal collocation method; process data generator; real-time I-distributed term optimal control; real-time Levenberg-Marquardt algorithm; recirculation tank; Adaptation models; Artificial neural networks; Biological system modeling; Equations; Mathematical model; Optimal control; Topology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks (IJCNN), The 2011 International Joint Conference on
Conference_Location :
San Jose, CA
ISSN :
2161-4393
Print_ISBN :
978-1-4244-9635-8
Type :
conf
DOI :
10.1109/IJCNN.2011.6033231
Filename :
6033231
Link To Document :
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