Adaptive predictive control of dissolved oxygen concentration in a laboratory-scale bioreactor

Diaz, Constantino; Dieu, Pierre; Feuillerat, Claude; Lelong, Philippe; Salomé, Marc

doi:10.1016/0168-1656(95)00101-5

Cited by 30 publications

(11 citation statements)

References 14 publications

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“…DO was controlled at 31.30±6.06% with the same setpoint. Further improvement in DO control can be achieved through a predictive control (Diaz et al, 1995). Fig.…”

Section: Performance Of the Control Program In A Cho Perfusion Culturementioning

confidence: 99%

“…Consequently, better product yield and culture physio-state were attained. In addition to feeding control, new control strategies can accurately control dissolved oxygen concentration through an adaptive predictive control (Diaz et al, 1995). The application of estimation methods can assist the control, monitoring and understanding of bioprocesses.…”

Section: Introductionmentioning

confidence: 99%

“…A self-designed computer integrated control system can offer all the flexibility, customization, optimization and cost efficiency. Partially selfdesigned control systems have been proven to meet the requirements of particular applications and control strategies (Kyung et al, 1994;Diaz et al, 1995;Konstantinov, 1996;Konstantinov et al, 1996). Full potentials can be realized through a completely selfdesigned control system (Buntemeyer et al, 1994).…”

Section: Introductionmentioning

confidence: 99%

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1998

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A general approach is described for the implementation of a networked multi-unit computer integrated control system. The use of data acquisition hardware and graphical programming tools alleviates tedious programming and maintains potency and flexibility. One application of the control system, the control of a mammalian cell perfusion culture based on a key nutrient glucose concentration, was demonstrated. The control system offers customized user interface for all process control parameters and allows the flexibility for continued improvement and implementation of new tailored functions. The temperature, pH, dissolved oxygen and glucose level were accurately controlled.

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“…DO was controlled at 31.30±6.06% with the same setpoint. Further improvement in DO control can be achieved through a predictive control (Diaz et al, 1995). Fig.…”

Section: Performance Of the Control Program In A Cho Perfusion Culturementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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1998

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“…a simple model permitting to be exploited during online optimization phases because the microalgae are living organisms and their characteristics can evolve in time (mutation, biofilm formation and stress). In industrial applications, the control of bioreactors is most often limited to simple regulation loops like: partial pressure of dissolved oxygen and dissolved carbon dioxide [7], pH and temperature. Hence, to increase significantly the process performances, new challenges emerge related to the control of the biological variables.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Model Predictive Control for regulation of microalgae culture in a continuous photobioreactor

Benattia

Tebbani

Dumur

2014

22nd Mediterranean Conference on Control and Automation

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The objective of this study is to design a Nonlinear Model Predictive Controller for a microalgae culture process to regulate the biomass concentration at a chosen setpoint. The optimization problem is discretized and transformed into a nonlinear programming problem, solved by Control Vector Parametrization technique. However, the performances of the NMPC usually decrease when the true plant evolution deviates significantly from that predicted by the model. Therefore, a control approach that considers model uncertainty is further considered by adding a system-model error signal which represents the gap between the system output and the model prediction. In order to reduce the influence of measurement noise introduced by sensors and to have a smooth control signal, a penalty term on the control variation is added in the objective function. Finally, the method is validated in simulation and numerical results are given to illustrate the efficiency of the control strategy for setpoint tracking in the presence of parameter uncertainties, measurement noise and light variation.

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“…The role of DO in a metabolic context has been discussed in section 4, and it becomes more significant when two complementary cultures are used. In large (production-scale) bioreactors, disturbances in the DO level are more likely and more difficult to control than those in the biomass and the liquid substrates [ 16 , 17 ]. Since, as explained below, DO plays as important a role as carbon and nitrogen, sensitivity of the fermentation to a perturbation in the DO concentration has considerable practical importance and is therefore the subject of the present work.…”

Section: Introductionmentioning

confidence: 99%

Response coefficient analysis of a fed-batch bioreactor to dissolved oxygen perturbation in complementary cultures during PHB production

Patnaik

2008

J Biol Eng

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BackgroundAlthough the production of poly-β-hydroxybutyrate (PHB) has many biological, energetic and environmental advantages over chemically synthesized polymers, synthetic polymers continue to be produced industrially since the productivities of fermentation processes fr PHB are not yet economically competitive. Improvement of a PHB fermentation requires good understanding and optimization under the realistic conditions of large bioreactors.Laboratory-scale studies have shown that co-cultures of Ralstonia eutropha and Lactobacillus delbrueckii generate better fermentation efficiencies than R. eutropha alone. In large bioreactors, incomplete dispersioin and perturbations in the dissolved oxygen (DO) concentration, both of which affect the fermentation, have to be considered. This study analyzes the effect of DO fluctuations on bioreactor performance for both ideal and optimally dispersed broths.ResultsResponse coefficient analysis was employed to obtain quantitative information on the effect of DO perturbations on different variables. Three values of the Peclet number (Pe) cheracterized three levels of dispersion: Pe = 0.01 for nearly complete dispersion, Pe = 20 for optimum dispersion and Pe = 60 for insufficient dispersion. The response coefficients (RCs) of the pairs of bacterial concentrations and the main substrates, glucose and ammonium chloride, showed contrasting variations with time. Lactate, a critical intermediate, and PHB had similar RC profiles but those of lactate were one to two orders of magnitude larger than other RCs. Significantly, the optimum Pe also resulted in the largest RCs, suggesting a balance between productivity and reactor stability.ConclusionSince R. eutropha requires oxygen for its growth whereas L. delbrueckii does not, fluctuations in the DO concentartion have a strong influence on the fermentation. Apart from this, the mechanism of PHB biosynthesis indicates that control of lactate is a critical determinant of fermentation efficiency. The RC profiles indicate that, under non-ideal conditions, a compromise may be required between PHB formation and reactor stability, especially in the latter half of the process.

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Adaptive predictive control of dissolved oxygen concentration in a laboratory-scale bioreactor

Cited by 30 publications

References 14 publications

Untitled

Untitled

Nonlinear Model Predictive Control for regulation of microalgae culture in a continuous photobioreactor

Response coefficient analysis of a fed-batch bioreactor to dissolved oxygen perturbation in complementary cultures during PHB production

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