Poster
Presentation 08:
Optimization and Control of Fed-Batch
Bioreactors
R. Mahadevan and F.J. Doyle III
University of Delaware
Department of Chemical Engineering
Newark, DE 19716
mahadeva@che.udel.edu
(302) 831-0726
Biochemical processes are becoming
increasingly important not only to
manufacture traditional fermentation
products such as pharmaceuticals
but also a variety of other products.
Typical biochemical processes in
the industry are carried out in the
fed-batch mode. Thus the area of
dynamic optimization of fed-batch
fermentation process is an active
area of research. One of the main
difficulties associated with
fed-batch bioreactor optimization
and control is that significant
deviations from the nominal operating
conditions occur frequently. This
causes the open-loop feed policy to
be suboptimal. Thus it is necessary
to estimate the key model parameters
for maintaining model accuracy.
Lack of sensors in these processes
has also lead to the use of 'soft
sensors' based on Kalman filters to
estimate the unmeasurable states
and the parameters which are used
in the optimization. Once the
parameters are updated, the optimal
trajectory has to be recomputed
on-line. Efficient algorithms for
on-line optimization of bioreactors
will be presented. These are then
used as part of a nonlinear model
predictive controller to maximize
the desired product.
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