Version 1
: Received: 21 August 2022 / Approved: 23 August 2022 / Online: 23 August 2022 (04:00:30 CEST)
Version 2
: Received: 24 August 2022 / Approved: 25 August 2022 / Online: 25 August 2022 (05:54:42 CEST)
Cortés, L.G.; Barbancho, J.; Larios, D.F.; Marin-Batista, J.D.; Mohedano, A.F.; Portilla, C.; de la Rubia, M.A. Full-Scale Digesters: Model Predictive Control with Online Kinetic Parameter Identification Strategy. Energies2022, 15, 8594.
Cortés, L.G.; Barbancho, J.; Larios, D.F.; Marin-Batista, J.D.; Mohedano, A.F.; Portilla, C.; de la Rubia, M.A. Full-Scale Digesters: Model Predictive Control with Online Kinetic Parameter Identification Strategy. Energies 2022, 15, 8594.
Cortés, L.G.; Barbancho, J.; Larios, D.F.; Marin-Batista, J.D.; Mohedano, A.F.; Portilla, C.; de la Rubia, M.A. Full-Scale Digesters: Model Predictive Control with Online Kinetic Parameter Identification Strategy. Energies2022, 15, 8594.
Cortés, L.G.; Barbancho, J.; Larios, D.F.; Marin-Batista, J.D.; Mohedano, A.F.; Portilla, C.; de la Rubia, M.A. Full-Scale Digesters: Model Predictive Control with Online Kinetic Parameter Identification Strategy. Energies 2022, 15, 8594.
Abstract
This work presents a nonlinear model predictive control scheme that challenges overcoming the obstacles holding back over decades to develop affordable autonomous control and monitoring systems applied in the large-scale industry. Among the numerous proposals in the literature, most do not consider the significant fluctuation of kinetic parameters in the reduced mathematical model ADM2, widely used for control and monitoring purposes. The prevalent cause, on a basis, is the lack of information caused by some dynamics and parameters that cannot be measured in real-time by reliable sensors. In addition, to make matters worse, those systems inherently act with nonlinear nature and have a high sensitiveness to uncontrollable inputs and perturbations. Therefore, to prevent these drawbacks, this work proposes a new methodology that reconstructs the lack of information from the non-measurable dynamics, concentration of bacterias, and the kinetic parameters related to reaction rates. Simulations results demonstrate the effectiveness of the methodology compared with traditional industrial control schemes.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Received:
25 August 2022
Commenter:
Luis Cortés Ocana
Commenter's Conflict of Interests:
Author
Comment:
The paper 10.20944/preprints202208.0393.v1 submitted on the platform preprints.org came out as a result of a research project attended by the Ph.D. student Luis Gabriel Cortés carried out at the University of Seville
Commenter: Luis Cortés Ocana
Commenter's Conflict of Interests: Author