Models and control methodologies in open water flow dynamics: A survey

Urban drainage systems (UDS) may be considered large-scale systems given their large number of associated states and decision actions, making challenging their real-time control (RTC) design. Moreover, the complexity of the dynamics of the UDS makes necessary the development of strategies for the control design. This paper reviews and discusses several techniques and strategies commonly used for the control of UDS. Moreover, the models to describe, simulate, and control the transport of wastewater in UDS are also reviewed.

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“…These methods are based on finite elements, and finite differences [81,97,98,99]. A brief description of these methods is given next.…”

Section: Simulation-oriented Modelsmentioning

confidence: 99%

Modeling and real-time control of urban drainage systems: A review

Garcia¹,

Barreiro-Gómez

Escobar³

et al. 2015

Advances in Water Resources

197

113

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“…However, the difficulty in determining the parameters of these equations remains as one of the main drawbacks of this physically oriented modeling approach. As a consequence, new alternative modeling approaches, namely both parametric and nonparametric data-driving models, have been proposed, in which the model parameters are optimized to match real data [14].…”

Section: Introductionmentioning

confidence: 99%

Data Based Modeling of a Large Scale Water Delivery System

Fernandes

Oliveira

Vieira

et al. 2016

Lecture Notes in Electrical Engineering

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Water is a vital resource and the growing populations and economies around the globe are pushing its demand worldwide. Therefore, the water conveyance operation should be well managed and improved. This paper proposes the development of reliable models able to predict water levels of a real 24.4 km water delivery channel in real time. This is a difficult task because this is a time-delayed dynamical system distributed over a long distance with nonlinear characteristics and external perturbations. Artificial neural networks are used, which are a well-known modeling technique that has been applied to complex and nonlinear systems. Real data is used for the design and validation of the models. The model obtained has the ability to predict water levels along the channel with minimum error, which can result in significant reduction of wasted water when implementing an automatic controller.

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“…Automatic water level control in open channels remains a challenge for researchers and engineers, as demonstrated by an abundant literature (see, e.g., Cantoni, Weyer, Li, Ooi, Mareels & Ryan (2007); Dang Van Mien (1999); Dumur, Libaux & Boucher (2001); Georges & Litrico (2002); de Halleux, Prieur, Coron, d'Andréa-Novel, Bastin, (2003); Litrico & Fromion (2009); Rabbani, Dorchies, Malaterre, Bayen & Litrico (2009); Thomassin, Bastogne & Richard (2009); Zhuan & Xia (2007)). The excellent review by Zhuan & Xia (2007), which is devoted to channel flow control methodologies, insists on the inherent complexity of this type of problems. The difficulties are explained by the features of the process to control:…”

Section: Introductionmentioning

confidence: 99%

Model-Free Based Water Level Control for Hydroelectric Power Plants

Join

Robert²,

Fliess

2010

IFAC Proceedings Volumes

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Automatic water level control methods for open channels have difficulties to keep good performances for a large range of flow and significant unknown disturbances. A new concept called Model-Free Control is applied in this paper for hydroelectric run-of-the river power plants. To modulate power generation, a level trajectory is planned for cascaded power plants. Numerous dynamic simulations show that with a simple and robust control algorithm, the set-point is followed even in severe operating conditions.

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Models and control methodologies in open water flow dynamics: A survey

Cited by 13 publications

References 61 publications

Modeling and real-time control of urban drainage systems: A review

Modeling and real-time control of urban drainage systems: A review

Data Based Modeling of a Large Scale Water Delivery System

Model-Free Based Water Level Control for Hydroelectric Power Plants

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