NEURAL NETWORK MODELING OF THE MIXED CULTURE CULTIVATION FOR PHB PRODUCTION PROCESS

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• ? ???????? ? ?????? ??????
• Lyubenova V., M. Ignatova, M. Novak, ?.
  Patarinska, (2007), Reaction rates estimators of
  fed-batch process for poly-?-hydroxybutyrate
  (PHB) production by mixed culture, Biotechnology
  BioE, No 21, (Sofia), pp 113-116.
• ? ???????? ??? ?????? ??????
• Ignatova M.N., V. Lyubenova, Control of class
  bioprocesses using on-line information of
  intermediate metabolite production and
  consumption rates, Acta Universitatis
  Cibiniensis, Series E Food Technology, I.S.S.N.
  1221-4973, Vol. 9, No1 (2007), Sibiu, Romania.
  (in press).
• Popova S., Adaptive control for PHB production,
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  Technology, I.S.S.N. 1221-4973, Vol. 9, No1
  (2007), Sibiu, Romania. (in press).
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• ?? ???????????
• Koprinkova-Hristova, P., Fuzzy control approach
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FUZZY CONTROL APPROACH TO MIXED CULTURE
CULTIVATION FOR PHB PRODUCTION PROCESS

• P. Koprinkova-Hristova
• Institute of Control and System Research,
  Bulgarian Academy of Sciences

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PHB PRODUCTION PROCESS

X1 - cell concentration of L. delbrueckii X2 -
cell concentration of R. euthropha S - glucose
concentration P - lactate concentration N - NH3
concentration Q - product, i.e. PHB concentration

The typical initial conditions
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specific growth and consumption rates
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Process control approaches 1
Fig. 1. Process control scheme C1- dissolved
oxygen concentration controller C2 - glucose
concentration controller as aeration speed
afr air flow rate
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Process control approaches 2change DO control
strategies
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Process control approaches 3change S control
strategy
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Crisp control results
e1-0.1 and e20.1
Fig. 2. Simulation results for the first crisp
control strategy
Fig. 3. Simulation results for the second crisp
control strategy
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Fuzzy control results 1
Change DO control strategy

• dP fuzzy levels below e1, between e1 and e2
  and above e2
• DO fuzzy levels
• around 0.5, around 1.75 and around 3
• around 0.5 and around 3
• membership functions - bell-shaped

Change S control strategy
S fuzzy levels high and low dP fuzzy
levels high and low membership functions
triangular-shaped
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Fuzzy control results 2
Fig. 4. Simulation results for the first fuzzy
control strategy
Fig. 5. Simulation results for the second fuzzy
control strategy
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Comparative study of the results 1
Fig. 6. Comparative results for the lactate
concentration
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Comparative study of the results 2
Fig. 7. Comparative results for the PHB
concentration
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• Thank you
• for your
• attention!