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Título

Combining CSP and MPC for the operational control of water networks: Application to the Richmond case study

AutorSun, Congcong; Puig, Vicenç; Cembrano, Gabriela
Palabras claveMPC
Epanet
PLIO
CSP
Fecha de publicación2014
EditorInternational Federation of Automatic Control
Elsevier
CitaciónIFAC papers online 19(1): 6246-6251 (2014)
ResumenThis paper presents the combination of Linear Model Predictive Control (MPC) with Constraints Satisfaction Problem (CSP) for the operational control of drinking water networks. The methodology has been divided into two functional layers: First, a CSP algorithm is used to transfer nonlinear pressure equations of drinking water networks (DWNs) into linear constraints, which can enclose feasible solution of the hydraulic non-linear problem during the optimizing process. Then, a linear MPC with added linear constraints is solved. Finally, the proposed approach is simulated using Epanet to represent the real DWNs. PLIO, which is a generic operational tool for controlling water network that uses non-linear MPC, is used for validation. The classical Richmond water system is used as a case study.
DescripciónTrabajo presentado al 19th IFAC World Congress celebrado del 24 al 29 de agosto de 2014 en Cape Town (Sudafrica).
Versión del editorhttp://dx.doi.org/10.3182/20140824-6-ZA-1003.01161
URIhttp://hdl.handle.net/10261/127330
DOI10.3182/20140824-6-ZA-1003.01161
Identificadoresissn: 1474-6670
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