Real time control of wastewater systems

Schilling, Wolfgang; Andersson, Bengt; Nyberg, Ulf; Aspegren, Henrik; Rauch, Wolfgang; Harremoës, Poul

doi:10.1080/00221689609498450

Cited by 35 publications

(19 citation statements)

References 3 publications

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“…It has been shown that the application of RTC techniques is a solution that allows the reduction of CSO volumes, among other benefits that, at the end, improve the performance of UDS [16,18]. The two main reasons of why RTC improves the operation of the existing UDS are [13]:…”

Section: Real-time Control Of Urban Drainage Systemsmentioning

confidence: 99%

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

Garcia¹,

Barreiro-Gómez

Escobar³

et al. 2015

Advances in Water Resources

201

113

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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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Section: Real-time Control Of Urban Drainage Systemsmentioning

confidence: 99%

“…Regarding the complexity of an RTC system, distinctions of the class or level of control implemented in UDS can be made [14,16,17,18,19,22,23,24]. If the actuators are not remotely operated from a central control room, then the system is operated at a local level.…”

Section: Real-time Control Of Urban Drainage Systemsmentioning

confidence: 99%

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

Garcia¹,

Barreiro-Gómez

Escobar³

et al. 2015

Advances in Water Resources

201

113

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“…A possible solution to the CSO problem is to use a highly sophisticated real-time control (RTC) scheme which ensures that high performance can be achieved and maintained under adverse meteorological conditions (Schütze et al, 2004;Marinaki and Papageorgiou, 2005). Comprehensive reviews that include a discussion of some existing implementations are given by Schilling et al (1996) and Schütze et al (2004) and the cited references therein, while practical issues are discussed by Schütze et al (2002), among others. The multivariable and large-scale nature of sewer networks has led to the use of some variants of model predictive control (MPC), as the control strategy widely use (Ocampo et al, 2008).…”

Section: Discussion Of Resultsmentioning

confidence: 99%

Fault diagnosis and fault tolerant control using set-membership approaches: Application to real case studies

Puig¹

2010

International Journal of Applied Mathematics and Computer Science

166

130

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This paper reviews the use of set-membership methods in fault diagnosis (FD) and fault tolerant control (FTC). Setmembership methods use a deterministic unknown-but-bounded description of noise and parametric uncertainty (interval models). These methods aims at checking the consistency between observed and predicted behaviour by using simple sets to approximate the exact set of possible behaviour (in the parameter or the state space). When an inconsistency is detected between the measured and predicted behaviours obtained using a faultless system model, a fault can be indicated. Otherwise, nothing can be stated. The same principle can be used to identify interval models for fault detection and to develop methods for fault tolerance evaluation. Finally, some real applications will be used to illustrate the usefulness and performance of set-membership methods for FD and FTC.

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“…The literature emphasizes definition of objectives of control in terms of auxiliary criteria such as overflow volumes or frequencies (Schütze et al, 2004;Schilling et al, 1996). These objectives are then translated into an optimization problem.…”

Section: Control Related Concernsmentioning

confidence: 99%