Adjustable robust optimal control for industrial 2-Mercaptobenzothiazole production processes under uncertainty

Liang, Enzhi; Yuan, Zhihong

doi:10.1007/s11081-021-09704-1

Cited by 3 publications

(2 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In general, system optimization under uncertainty is an important and active research issue. Diverse approaches that consider uncertainties have been reported for the optimization of chemical processes [28][29][30][31].…”

Section: Bioreactor Modelingmentioning

confidence: 99%

Bioprocess Intensification of a Continuous-Flow Enzymatic Bioreactor via Productivity Dynamic Optimization under Modeling Uncertainty

Femat,

Aguilar-López,

Mata-Machuca

2023

Fermentation

View full text Add to dashboard Cite

In this contribution, a class of observer-based optimal feedback control is designed. The proposed feedback control is based on the Euler–Lagrange theoretical framework, and it is motivated by the productivity intensification from the chemical reactors, which is optimally increased. A Lagrangian is computed by employing the corresponding mass balance equation of a specifically selected biochemical compound. The resulting optimal controller is coupled with a novel uncertainty estimator with bounded feedback to derive an accurate estimation of the unknown terms and functions, mostly related to the reaction rate. Via Lyapunov analysis, it was shown that the proposed observer is asymptotically stable. The estimation of the unknown terms and functions is used by the proposed controller. The proposed methodology is applied to a generic model of an enzymatic biochemical continuous reactor with complex oscillatory dynamic behavior described by mass balance equations, so, in general, the proposed controller may be applied to any continuous stirred tank bioreactor; that is, the controller is independent of the specific kinetic functions. Numerical simulations show a satisfactory performance of the proposed control strategy.

show abstract

Section: Bioreactor Modelingmentioning

confidence: 99%

Bioprocess Intensification of a Continuous-Flow Enzymatic Bioreactor via Productivity Dynamic Optimization under Modeling Uncertainty

Femat,

Aguilar-López,

Mata-Machuca

2023

Fermentation

View full text Add to dashboard Cite

show abstract

“…The numerical results show that accounting for recourse and inexactness of biomarker information is particularly beneficial when robustness is of high importance. Another application of adjustable RO is presented by Liang and Yuan (2022), who consider the dynamic optimization of the 2-Mercaptobenzothiazole manufacturing process. The production of 2-Mercaptobenzothiazole, an important chemical for the tire and rubber industries, involves a set of complex reactions for which the kinetic parameters are often not exactly known.…”

mentioning

confidence: 99%