Model-predictive control of a combined sewer system

Gelormino, Marc S.; Ricker, N. Lawrence

doi:10.1080/00207179408923105

Cited by 87 publications

(89 citation statements)

References 9 publications

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“…According to [40], different assumptions can be done for the rain prediction when an optimal control law is used in the RTC of sewer networks. Results show that the assumption of constant rain over a short prediction horizon gives results that can be compared with the assumption of known rain over the considered horizon, confirming similar results reported in [35,41]. In the latter case, matrix A d can be set as an identity matrix of suitable dimensions.…”

Section: 12supporting

confidence: 69%

“…This behavior and other particular hybrid phenomena/elements of sewer systems that depend on system state can be conveniently modeled using the MLD form introduced in Section 3.1. A calibrated and validated MLD model of this system, including all intrinsic operating modes, is available as well as rain * * Virtual tank is a concept related to the volume of sewage that, at any given time, is stored inside the mains associated with a determined subcatchment of the sewer network [35]. Figure 9.…”

Section: 12mentioning

confidence: 99%

“…The modeling methodology used in this paper is based on the approach presented in [35]. There, the sewer system was divided into connected subgroups of catchments and treated as interconnected virtual tanks.…”

Section: 12mentioning

confidence: 99%

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Fault‐tolerant model predictive control within the hybrid systems framework: Application to sewer networks

Ocampo‐Martínez

Puig

2008

Adaptive Control & Signal

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SUMMARYIn this paper, model predictive control (MPC) problem with fault-tolerance capabilities is formulated within the hybrid systems framework. In particular, the mixed logical dynamic form to represent hybrid systems is considered. Using this approach, a hybrid model of the system to be controlled is obtained, which includes inherent hybrid phenomena and possible modes caused by faults occurrence. This allows to adapt the system model on-line by taking into account the fault information provided by a fault diagnosis and isolation module. In this way, the controller can cope with the considered faults. Additionally, different implementation schemes and fault-tolerance evaluation procedures for hybrid MPC (HMPC) considering fault-tolerance capabilities are proposed and discussed. Finally and in order to exemplify the implementation of the proposed approach, it is applied to include actuator fault tolerance in the design of a HMPC controller for a portion of the sewer network of Barcelona. q

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Section: 12supporting

confidence: 69%

Section: 12mentioning

confidence: 99%

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Fault‐tolerant model predictive control within the hybrid systems framework: Application to sewer networks

Ocampo‐Martínez

Puig

2008

Adaptive Control & Signal

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“…At each time instant, the stored volumes in all the gathered elements represent the volume of water contained in the corresponding virtual repository [115]. Outflows are assumed to be nonlinear in [115], and linear with respect to tank volumes in [11]. The sewage volume is computed via the mass balance of the stored volume, the inflows, and the outflows [10,11].…”

Section: Conceptual Modelsmentioning

confidence: 99%

“…The division is made by grouping sets of elements in the network and replacing them by interconnected virtual repositories. At each time instant, the stored volumes in all the gathered elements represent the volume of water contained in the corresponding virtual repository [115]. Outflows are assumed to be nonlinear in [115], and linear with respect to tank volumes in [11].…”

Section: Conceptual 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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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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Hybrid modeling and receding horizon control of sewer networks

Joseph-Duran

Ocampo‐Martínez

Cembraño

2014

Water Resources Research

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In this work, a control-oriented sewer network model is presented based on a hybrid linear modeling framework. The model equations are described independently for each network element, thus allowing the model to be applied to a broad class of networks. A parameter calibration procedure using data obtained from simulation software that solves the physically based model equations is described and validation results are given for a case study. Using the control model equations, an optimal control problem to minimize flooding and pollution is formulated to be solved by means of mixed-integer linear or quadratic programming. A receding horizon control strategy based on this optimal control problem is applied to the case study using the simulation software as a virtual reality. Results of this closed-loop simulation tests show the effectiveness of the proposed approach in fulfilling the control objectives while complying with physical and operational constraints.

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Model-predictive control of a combined sewer system

Cited by 87 publications

References 9 publications

Fault‐tolerant model predictive control within the hybrid systems framework: Application to sewer networks

Fault‐tolerant model predictive control within the hybrid systems framework: Application to sewer networks

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

Hybrid modeling and receding horizon control of sewer networks

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