Version 1
: Received: 13 May 2024 / Approved: 14 May 2024 / Online: 14 May 2024 (10:42:15 CEST)
How to cite:
Cembellín, A.; Fuente, M. J.; Vega, P.; Francisco, M. Fault-Tolerant Model Predictive Control Applied of a Sewer Network. Preprints2024, 2024050935. https://doi.org/10.20944/preprints202405.0935.v1
Cembellín, A.; Fuente, M. J.; Vega, P.; Francisco, M. Fault-Tolerant Model Predictive Control Applied of a Sewer Network. Preprints 2024, 2024050935. https://doi.org/10.20944/preprints202405.0935.v1
Cembellín, A.; Fuente, M. J.; Vega, P.; Francisco, M. Fault-Tolerant Model Predictive Control Applied of a Sewer Network. Preprints2024, 2024050935. https://doi.org/10.20944/preprints202405.0935.v1
APA Style
Cembellín, A., Fuente, M. J., Vega, P., & Francisco, M. (2024). Fault-Tolerant Model Predictive Control Applied of a Sewer Network. Preprints. https://doi.org/10.20944/preprints202405.0935.v1
Chicago/Turabian Style
Cembellín, A., Pastora Vega and Mario Francisco. 2024 "Fault-Tolerant Model Predictive Control Applied of a Sewer Network" Preprints. https://doi.org/10.20944/preprints202405.0935.v1
Abstract
This work presents a Fault-Tolerant Model Predictive Control (FTMPC) algorithm applied to a simulation model for sewer networks. The control system will aim to prevent contaminated water from escaping the network, especially during periods of heavy rainfall, that can cause combined sewer overflows (CSO), while maintaining the flow of water towards the wastewater treatment plant (WWTP) as close as possible to its nominal value. The main purpose of the work is to preserve the operation of the predictive controller as much as possible, in accordance with its operational objectives, when there may be anomalies affecting the elements of the control system, mainly sensors and actuators. Comparing the results obtained considering various types of faults, with situations of normal controlled operation and with the behavior of the sewer network when no control is applied, will allow some conclusions to be drawn at the end.
Keywords
Fault Detection and Diagnosis; Fault-Tolerant Control; Model Predictive Control; sewer systems
Subject
Engineering, Control and Systems Engineering
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.
