A hierarchical observer for a non-linear uncertain CSTR model of biochemical processes

• Autorzy: Czyżniewski Mateusz , Łangowski Rafał

Identyfikatory

DOI

10.61822/amcs-2024-0004

• Języki publikacji: EN

Abstrakty

EN

The problem of estimation of unmeasured state variables and unknown reaction kinetic functions for selected biochemical processes modelled as a continuous stirred tank reactor is addressed in this paper. In particular, a new hierarchical (sequential) state observer is derived to generate stable and robust estimates of the state variables and kinetic functions. The developed hierarchical observer uses an adjusted asymptotic observer and an adopted super-twisting sliding mode observer. The stability of the proposed hierarchical observer is investigated under uncertainty in the system dynamics. The stability analysis of the estimation error dynamics is carried out based on the methodology associated with linear parameter-varying systems and sliding mode regimes. The developed hierarchical observer is implemented in the Matlab/Simulink environment and its performance is validated via simulation. The obtained satisfactory estimation results demonstrate high effectiveness of the devised hierarchical observer.

Słowa kluczowe

EN

bioreactor; hierarchical observer; nonlinear uncertain system; state estimation

PL

bioreaktor; obserwator hierarchiczny; układ niepewny; estymacja stanu

• Wydawca: Oficyna Wydawnicza Uniwersytetu Zielonogórskiego
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2024
• Tom: Vol. 34, no. 1
• Strony: 45--64
• Opis fizyczny: Bibliogr. 61 poz., rys., tab., wykr.

Twórcy

autor

Czyżniewski Mateusz

• Department of Intelligent Control and Decision Support Systems, Gdańsk University of Technology, G. Narutowicza 11/12, 80-233 Gdańsk, Poland

autor

Łangowski Rafał

• Department of Intelligent Control and Decision Support Systems, Gdańsk University of Technology, G. Narutowicza 11/12, 80-233 Gdańsk, Poland
• Digital Technologies Center, Gdańsk University of Technology, G. Narutowicza 11/12, 80-233 Gdańsk, Poland

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Uwagi

PL

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).