Distributed Model Predictive Control Applied to a Sewer System

Cembellín, Antonio; Francisco, Mario; Vega, Pastora

doi:10.3390/pr8121595

Cited by 8 publications

(20 citation statements)

References 53 publications

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“…Legislation is bound to influence the objective functions set for the RTC strategy, influencing the performance potential. Some RTC procedures have been found to increase the frequency of CSO events whilst decreasing the overall volume (Cembellín et al 2020). RTC as the basis for the environmental permitting could be a flexible and efficient way to implement legislation (Meng et al 2020).…”

Section: Contextual Changesmentioning

confidence: 99%

Towards the long term implementation of real time control of combined sewer systems: a review of performance and influencing factors

Werf

Kapelan

Langeveld

2022

Water Science and Technology

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Real Time Control (RTC) is widely accepted as a cost-effective way to operate urban drainage systems (UDS) effectively. However, what factors influence RTC efficacy and how this might change in the long term remains largely unknown. This paper reviews the literature to understand what these factors likely are, and how they can be assessed in the future. Despite decades of research, inconsistent definitions of the performance of RTC are used, hindering an objective and quantitative examination of the benefits and drawbacks of different control strategies with regard to their performance and robustness. Furthermore, a discussion on the changes occurring and projected to occur to UDS reveals that the potential impact of these changes on the functioning of RTC systems can be significant and should be considered in the design stage of the RTC strategy. Understanding this ‘best-before’ characteristic of an RTC strategy is the key step to ensure long term optimal functioning of the UDS. Additionally, unexplored potential for RTC systems might exist in the transitions, rehabilitation and construction of drainage systems. The research gaps highlighted here could guide the way for further development of RTC strategies, and enabling more optimal, long term implementation of RTC for urban drainage systems.

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Section: Contextual Changesmentioning

confidence: 99%

Towards the long term implementation of real time control of combined sewer systems: a review of performance and influencing factors

Werf

Kapelan

Langeveld

2022

Water Science and Technology

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“…This is achieved by retaining the volume collected in the tanks during heavy rainfall and by releasing that volume during drought times. As part of the control algorithm, a simplified model of the process has been developed that will be used to predict the behavior of the system during a given time interval [40]. The simplified mathematical model of the process is made up of the following elements: -WATER COLLECTION AREA: all water collected in the area constitutes an inflow to the system that is treated as a disturbance.…”

Section: Benchmark Model Descriptionmentioning

confidence: 99%

“…-LINK ELEMENTS: they are wastewater conductions by gravity in open channels. Its discrete mathematical model would be the following: As part of the control algorithm, a simplified model of the process has been developed that will be used to predict the behavior of the system during a given time interval [40]. The simplified mathematical model of the process is made up of the following elements:…”

Section: Benchmark Model Descriptionmentioning

confidence: 99%

“…., u 5 ). The model appears in detail in [40], where the equations of the linearized model of the system that is going to be used as a prediction model in the MPC algorithm are shown:…”

Section: Benchmark Model Descriptionmentioning

confidence: 99%

“…To achieve optimal system operation, the level setpoints are calculated following the strategy of distributing the current volume of water among all tanks as evenly as possible considering their capacity. This is achieved by calculating for each one its reference level as a function of the total capacity of the network and the capacity of that tank [40]:…”

Section: Model Predictive Control Algorithmmentioning

confidence: 99%

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Fault-Tolerant Model Predictive Control Applied to a Sewer Network

Cembellín,

Fuente,

Vega

et al. 2024

Applied Sciences

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This paper presents a Fault-Tolerant Model Predictive Control (FTMPC) algorithm applied to a simulation model for sewer networks. The aim of this 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. For this purpose, a fault detection and diagnosis system (FDD) based on a moving window principal component analysis technique (MWPCA) will be developed to provide an online fault monitoring solution for large-scale complex processes (e.g., sewer systems) with dynamically changing characteristics, and a reconfiguration algorithm for the MPC controller taking advantage of its own features such as constraint handling. 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.

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