Abstract
In this study, the growth medium temperature in a batch bioreactor was controlled at the set point by using fuzzy model-based control method. Fuzzy control parameters which are membership functions and relation matrix were found using genetic algorithm. Heat input given from the immersed heater and the cooling water flow rate were selected as the manipulated variables in order to control the growth medium temperature in the bioreactor. Controller performance was tested in the face of different types of input variables. To eliminate the noise on the temperature measurements, first-order filter was used in the control algorithm. The achievement of the temperature control was analyzed in terms of both microorganism concentration which was reached at the end of the stationary phase and the performance criteria of Integral of the Absolute Error. It was concluded that the cooling flow rate was suitable as manipulated variable with regard to microorganism concentration. On the other hand, performance of the controller was satisfactory when the heat input given from the immersed heater was manipulated variable.
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Abbreviations
- A T :
-
Heat transfer surface area, m2
- C S :
-
Substrate concentration, g substrate /L
- C X :
-
Microorganism (yeast) concentration, g cell /L
- k d :
-
First-order death-rate constant
- m C :
-
Cooling water flow rate, g/s
- N :
-
Population size
- OUR:
-
Oxygen uptake rate, g O2 /L.h
- Q GR :
-
Generated reaction heat, J
- p c :
-
Probability of crossover
- p m :
-
Probability of mutation
- t :
-
Time, h, s
- T :
-
Bioreactor temperature, °C
- Tc:
-
Mean temperature of cooling water, °C
- Tci :
-
Inlet temperature of cooling water, °C
- Tco :
-
Outlet temperature of cooling water, °C
- U :
-
Overall heat transfer coefficient, J/m2 s °C
- V C :
-
Volume of cooling water, cm3
- V L :
-
Volume of growth medium, cm3
- Y X/S :
-
Substrate yield coefficient, g cell/g substrate
- Y X/O2 :
-
Oxygen yield coefficient, g cell/g O2
- 1/Y H :
-
Metabolic heat evolved per gram of cell mass produced, J/g cell
- μ :
-
Specific growth rate, 1/h
- ρ :
-
Growth medium density, g/cm3
- ρ C :
-
Cooling water density, g/cm3
- ΔH S :
-
Heat of combustion of the substrate, J/mol substrate
- ΔH C :
-
Heat of combustion of cells, J/g cell
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Ahioğlu, S., Altinten, A., Ertunç, S. et al. Fuzzy Control with Genetic Algorithm in a Batch Bioreactor. Appl Biochem Biotechnol 171, 2201–2219 (2013). https://doi.org/10.1007/s12010-013-0488-4
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DOI: https://doi.org/10.1007/s12010-013-0488-4