An Extended Super-Twisting Algorithm for simultaneous estimation of reaction rates and input disturbance in bioprocess. (March 2023)

• Record Type: Journal Article
• Authors: V.A., Reza López,; J.N., Guerrero Tavares,; J.A., Torres Muñoz,
• Is Part Of: Journal of process control. Volume 123(2023)
• Page Start: 131
• Page End: 140
• Publication Date: 2023-03
• Subjects: Extended Super-Twisting Algorithm -- Bioprocess monitoring -- Observer-based estimator -- Reaction rates -- Input disturbance; Process control -- Periodicals; Fabrication -- Contrôle -- Périodiques; Process control; Periodicals; Electronic journals; 660.281
• DOI: 10.1016/j.jprocont.2023.02.009
• Languages: English
• ISSNs: 0959-1524

Abstract

Abstract: The present contribution deals with the simultaneous estimation of the reaction rates and input disturbances in a bioprocess. Online estimation of just the reaction rates is possible by sliding mode observer techniques or high-gain observers, in finite-time or with exponential convergence, respectively. However, these techniques are not robust against unpredictable input bioreactor disturbances and are not readily adaptable to treat external disturbances. Motivated by these facts, we propose a novel extended super-twisting algorithm for a class of nonlinear systems, such that the estimation of uncertain parameters, unknown internal dynamics, and external disturbances converge in a finite time or a neighborhood near its nominal values. The effectiveness of the developed algorithm is tested through simulations in an anaerobic digestion process using a batch and a continuous bioreactor. Simulation results show good robustness performance of the extended super-twisting algorithm. Highlights: An extended super-twisting observer-based estimator is proposed. The stability of the proposed algorithm is proved within Lyapunov's formalism. Bioprocess reaction rates and input disturbance can be estimated simultaneously.