Application of the ADRC Tunned with the Attractive Ellipsoid Approach for Continuous Bioreactors

The control of continuous bioreactors is essential for many bioprocesses. However, it is challenging to design and analyze controllers in a closed loop with a bioreactor due to the presence of uncertainties, external disturbances, and highly nonlinear and complex unknown dynamics. In this work, an active disturbance rejection controller is designed and analyzed for continuous bioreactors. For this task, the attractive ellipsoid approach is applied to analyze and tune the proposed controller based on an observer in a closed loop with the bioreactor’s nonlinear dynamic. Finally, the proposed algorithm is tested in a second-order continuous bioreactor simulation.

Authors

Publication Details

Journal
Memorias del Congreso Nacional de Control Automático
Published
2024-12-27
DOI
https://doi.org/10.58571/cnca.amca.2024.064
Primary Topic
Advanced Control Systems Optimization
Type
article
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article

Application of the ADRC Tunned with the Attractive Ellipsoid Approach for Continuous Bioreactors

Jorge Torres, Jesús Guerrero, Víctor Reza
Memorias del Congreso Nacional de Control Automático
Advanced Control Systems Optimization
article

Application of the ADRC Tunned with the Attractive Ellipsoid Approach for Continuous Bioreactors

Jorge Torres, Jesús Guerrero, Víctor Reza
article en

Abstract

The control of continuous bioreactors is essential for many bioprocesses. However, it is challenging to design and analyze controllers in a closed loop with a bioreactor due to the presence of uncertainties, external disturbances, and highly nonlinear and complex unknown dynamics. In this work, an active disturbance rejection controller is designed and analyzed for continuous bioreactors. For this task, the attractive ellipsoid approach is applied to analyze and tune the proposed controller based on an observer in a closed loop with the bioreactor’s nonlinear dynamic. Finally, the proposed algorithm is tested in a second-order continuous bioreactor simulation.

Memorias del Congreso Nacional de Control AutomáticoVol. 7(1)
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Advanced Control Systems Optimization
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