García, Míriam R. and Vilas, Carlos and Banga, Julio R. and Lyubenova, Velislava N. and Ignatova, Maya N. and Alonso, Antonio A.
State Reconstruction in Spatially Distributed BioProcess Systems using
Reduced Order Models: Application to the Gluconic Acid Production.
Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05. 44th IEEE Conference on : ISBN 0-7803-9567-0 .
In this work, the dissipative nature of spatially distributed
bioprocess systems is exploited to develop efficient state
observers based on a low dimensional dynamic representation of
the original set of partial differential equations. The approach
we suggest combines standard observer design techniques
for bioreactors with efficient model reduction methodologies
based on projection of the original concentration fields on
low dimensional subspaces capturing the slow dynamics of the
Aspects related with the location of sensors and their influence
on the ability to reconstruct concentration fields will also
be considered. Finally, the different aspects of the methodology,
as well as the efficiency of the resulting observers will be
illustrated on a case study of industrial interest, namely a
tubular bioreactor producing gluconic acid by Aspergillus Niger.
||This paper includes results of the joint research project that
is supported by the bilateral agreements between Bulgarian
academy of sciences and Process Engineering Group IIMCSIC.
The authors acknowledge financial support received
from the Spanish Government (MCyT Projects PPQ2001-
3643) and Xunta de Galicia (PGIDIT02-PXIC40209PN).
||State Reconstruction; Spatially Distributed BioProcess Systems; Reduced Order Models; Gluconic Acid Production;
||Faculty of Science and Engineering > Research Institutes > Hamilton Institute
||23 Nov 2010 16:18
|Journal or Publication Title:
||Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05. 44th IEEE Conference on : ISBN 0-7803-9567-0
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