On-line optimization of fed-batch bioreactors by adaptive extremum seeking control

Cougnon, Pascal; Dochain, Denis; Guay, Martin; Perrier, Michel

doi:10.3182/20100707-3-be-2012.0023

Cited by 3 publications

(4 citation statements)

References 7 publications

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“…This problem has already been tackled before using extremum-seeking strategies which strongly rely on the structure and parameters of the growth or degradation rate function [4], [5] and are thus difficult to implement. In a previous work, [6] have presented an original extremum-seeking algorithm design which solves the optimization problem using a Lyapunov-based controller and several measurements including the outlet gas composition, the substrate and biomass concentrations.…”

Section: Introductionmentioning

confidence: 99%

Real-time optimization of a fed-batch bioreactor with substrate inhibition using extremum-seeking

Dewasme

Vargas

Moreno

et al. 2012

2012 IEEE International Conference on Control Applications

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Ahstract-This paper proposes two real-time optimization strategies for single biomass fed-batch processes where it is desired to maximize a production or degradation rate (also called specific metabolic respiration rate), by estimating the corresponding optimal substrate concentration on the basis of basic measurements related to the feed input, the outlet gas composition (i.e., easily available measurements) and a limited knowledge of the model. A simple feedback controller only requiring the a priori knowledge of one coefficient is designed and tested in combination with the real-time optimization scheme, on a toxic wastewater treatment process.

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Section: Introductionmentioning

confidence: 99%

Real-time optimization of a fed-batch bioreactor with substrate inhibition using extremum-seeking

Dewasme

Vargas

Moreno

et al. 2012

2012 IEEE International Conference on Control Applications

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“…in bioprocesses, from a plantwide control perspective. On the other hand, Cougnon et al 27 addressed the on-line optimization of fed-batch bioreactors by implementing in simulation an adaptive extremum seeking control approach. Such an approach was able to drive the system states to the desired set-points to maximize the biomass production, by considering the substrate concentration as the only available on-line measurement.…”

Section: Introductionmentioning

confidence: 99%

“…in bioprocesses, from a plantwide control perspective. On the other hand, Cougnon et al 27 . addressed the on‐line optimization of fed‐batch bioreactors by implementing in simulation an adaptive extremum seeking control approach.…”

Section: Introductionmentioning

confidence: 99%

Real‐time optimization and control for polyhydroxybutyrate fed‐batch production at pilot plant scale

Ochoa

Alcaraz

2020

J of Chemical Tech & Biotech

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BACKGROUND: Polyhydroxyalkanoate-type polymers (PHAs) are claimed as an alternative for replacing conventional plastics; but the economic feasibility of its production should still be assured in order to accomplish such a massive goal. In a previous work on fed-batch production of PHAs, it was shown that the process yield and the properties of the biopolymer obtained highly depend on the type of feeding strategy applied. Such results evidenced the need for implementing optimization-based control strategies to control the process in real-time, rather than implementing pre-defined feeding policies. RESULTS: In this study, real-time optimization for the fed-batch production of PHAs at pilot plant scale from a low-cost substrate (vinasses-molasses mixture) is presented. Two optimization-based control strategies were developed to calculate the optimal feed flow rate. One strategy considered only the process productivity as an objective, whereas the other incorporated not only productivity but also a profitability-oriented objective. The latter resulted in a productivity of 0.364 g/L h and a maximal polymer concentration of 62.03% cell dry weight, versus 0.043 g/L h and 6.25% attained by applying a traditional feedback control law. CONCLUSION: Implementation of closed-loop based-optimal control policies in PHA production has led to higher yield and polymer concentration, confirming that an improved operation of fed-batch bioprocesses is reached when the feeding policy is updated in real-time, according to an optimization goal. Despite implementation costs, applying this approach might be the best alternative for simultaneously facing uncertainties and achieving optimal operation at an industrial scale, especially when living microorganisms are used as factories.

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“…HE EXTREMUM SEEKING control (ESC) method aims to meet nonlinear performance criteria of a system using the adaptive control method. The ESC method has been used in a lot of engineering systems such as nuclear reactors [1,2], tracking the maximum power point of renewable energy systems [3][4][5], control of chemical systems [6][7][8], control of bioreactors [9][10][11][12][13], and mobile robots [14][15][16][17][18]. Because the ESC method has a lot of applications in the control of physical systems, researchers are interested in this control method.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Variable Order Extremum-Seeking Controller Design for Mobile Robots

Atan

2019

Balkan Journal of Electrical and Computer Engineering

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In this paper, a fuzzy variable order extremumseeking control (FVO-ESC) system for a mobile robot are designed. Fractional order controllers have advantages in the control of nonlinear systems such as a wider area of stability and performance enhancement in the presence of noise. The main proposal of the paper is to increase the performance of the fractional order controller. So, a variable order controller was designed for a mobile robot, and a fuzzy logic controller was designed according to user experiences to tune the controller order. The proposed FVO-ESC approach has been validated the effects on nonlinear systems such as the mobile robot system. It has been put forward in the preliminary investigation that the order of the fractional order ESC controller affects the overshoot and time to reach the target. The results suggested that a variable-level controller would have better performance. The results show that the proposed FVO-ESC control approach provides optimum performance for mobile robot systems.

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On-line optimization of fed-batch bioreactors by adaptive extremum seeking control

Cited by 3 publications

References 7 publications

Real-time optimization of a fed-batch bioreactor with substrate inhibition using extremum-seeking

Real-time optimization of a fed-batch bioreactor with substrate inhibition using extremum-seeking

Real‐time optimization and control for polyhydroxybutyrate fed‐batch production at pilot plant scale

Fuzzy Variable Order Extremum-Seeking Controller Design for Mobile Robots

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