Model Predictive Control of Integrated Quantity and Quality in Drinking Water Distribution Systems

Drewa, M.; Brdyś, Mietek A.; Cimiński, A.

doi:10.3182/20070606-3-mx-2915.00134

Cited by 14 publications

(3 citation statements)

References 14 publications

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“…The distributed RFMPC was applied at LCL for the first time in (Chang et al, 2003). The single agent with centralized MPC with full hydraulics and quality information feedback achieving robust constraint satisfaction by fixed safety zones was applied for the first time to the integrated quantity and quality control problem in (Drewa et al, 2007) and it is presented in section 5.2.3. The multiagent structure and algorithms for the two time scale hierarchical controller with RFMPC at both control layers are under development.…”

Section: A Single Agent -Centralized Two Time Scale Hierarchical Contmentioning

confidence: 99%

Cooperative control in production and logistics

Monostori

Valckenaers²,

Dolgui

et al. 2015

Annual Reviews in Control

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This is a milestone paper of the Coordinating Committee on Manufacturing and Logistics Systems (CC5) of the International Federation of Automatic Control (IFAC).Classical applications of control engineering and information and communication technology (ICT) in production and logistics are often done in a rigid, centralized and hierarchical way. These inflexible approaches are typically not able to cope with the complexities of the manufacturing environment, such as the instabilities, uncertainties and abrupt changes caused by internal and external disturbances, or a large number and variety of interacting, interdependent elements. A paradigm shift, e.g., novel organizing principles and methods, is needed for supporting the interoperability of dynamic alliances of agile and networked systems. Several solution proposals argue that the future of manufacturing and logistics lies in network-like, dynamic, open and reconfigurable systems of cooperative autonomous entities.The paper overviews various distributed approaches and technologies of control engineering and ICT that can support the realization of cooperative structures from the resource level to the level of networked enterprises. Standard results as well as recent advances from control theory, through cooperative game theory, distributed machine learning to holonic systems, cooperative enterprise modelling, system integration, and autonomous logistics processes are surveyed. A special emphasis is put on the theoretical developments and industrial applications of Robustly Feasible Model Predictive Control (RFMPC). Two case studies are also discussed: i) a holonic, PROSA-based approach to generate short-term forecasts for an additive manufacturing system by means of a delegate multi-agent system (D-MAS); and ii) an application of distributed RFMPC to a drinking water distribution system.

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Section: A Single Agent -Centralized Two Time Scale Hierarchical Contmentioning

confidence: 99%

Cooperative control in production and logistics

Monostori

Valckenaers²,

Dolgui

et al. 2015

Annual Reviews in Control

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“…The PRV scheduling algorithm can be used for off-line planning studies such as assessing the benefits of introducing the leakage management or for on-line pressure control, which may be implemented in either predictive control or feedback control as a real time control scheme Drewa et al, 2007). Predictive control calculates the optimal PRV schedules at each interval of time by the optimal scheduling algorithm, using updated demand prediction.…”

Section: The Solution Of the Pressure Optimisation Problemmentioning

confidence: 99%

Pressure Control in District Metering Areas with Boundary and Internal Pressure Reducing Valves

Ulanicki

AbdelMeguid

Bounds

et al. 2009

Water Distribution Systems Analysis 2008

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“…MPC was successfully applied originally to minimize the cost of pumping [5][6][7][8]. Others took a more general approach using MPC, gaining good optimization and control of water quality and quantity in municipal systems as a whole [9][10][11][12][13][14]. An excellent feature article was published in 2002 providing an overview of feedback control as it applies to water quality [15].…”

Section: Literature Reviewmentioning

confidence: 99%

Minimizing the Effect of Substantial Perturbations in Military Water Systems for Increased Resilience and Efficiency

2017

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Abstract:A model predictive control (MPC) framework, exploiting both feedforward and feedback control loops, is employed to minimize large disturbances that occur in military water networks. Military installations' need for resilient and efficient water supplies is often challenged by large disturbances like fires, terrorist activity, troop training rotations, and large scale leaks. This work applies the effectiveness of MPC to provide predictive capability and compensate for vast geographical differences and varying phenomena time scales using computational software and actual system dimensions and parameters. The results show that large disturbances are rapidly minimized while maintaining chlorine concentration within legal limits at the point of demand and overall water usage is minimized. The control framework also ensures pumping is minimized during peak electricity hours, so costs are kept lower than simple proportional control. Thecontrol structure implemented in this work is able to support resiliency and increased efficiency on military bases by minimizing tank holdup, effectively countering large disturbances, and efficiently managing pumping.

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Model Predictive Control of Integrated Quantity and Quality in Drinking Water Distribution Systems

Cited by 14 publications

References 14 publications

Cooperative control in production and logistics

Cooperative control in production and logistics

Pressure Control in District Metering Areas with Boundary and Internal Pressure Reducing Valves

Minimizing the Effect of Substantial Perturbations in Military Water Systems for Increased Resilience and Efficiency

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