State and unknown input estimation of an anaerobic digestion reactor with experimental validation

This paper investigates state and unknown input estimations in an Anaerobic Digestion Reactor (ADR) considering a simple two-stage reaction model describing acidogenesis and methanogenesis. From the sole methane outlet flow, this model allows to predict the inlet and outlet biodegradable suspended s...

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Bibliographic Details
Published in:Control engineering practice 2019-04, Vol.85, p.280-289
Main Authors: Dewasme, L., Sbarciog, M., Rocha-Cózatl, E., Haugen, F., Vande Wouwer, A.
Format: Article
Language:English
Subjects:
Bioprocesses
Kalman filter
Robust estimation
Sensitivity analysis
Software sensors
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Summary:This paper investigates state and unknown input estimations in an Anaerobic Digestion Reactor (ADR) considering a simple two-stage reaction model describing acidogenesis and methanogenesis. From the sole methane outlet flow, this model allows to predict the inlet and outlet biodegradable suspended solid and volatile fatty acid concentrations, which are critical for process stability, as well as acidogenic and methanogenic biomasses. Continuous–discrete exogenous and unknown input formulations of the Extended Kalman Filter (EKF) are applied in this context and a numerical robustness analysis is achieved to characterize sensitivities to measurement noise and model uncertainties. The resulting observers are then validated experimentally with data from a lab-scale plant.
ISSN:0967-0661
1873-6939
DOI:10.1016/j.conengprac.2019.02.003