Publication
Model predictive control of drinking water networks: A hierarchical and decentralized approach
Conference Article
Conference
American Control Conference (ACC)
Edition
2010
Pages
3951-3956
Doc link
http://ieeexplore.ieee.org/search/srchabstract.jsp?tp=&arnumber=5530643
File
Authors
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Ocampo Martínez, Carlos A.
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Fambrini, Valentina
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Barcelli, Davide
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Puig Cayuela, Vicenç
Projects associated
Abstract
In this paper, a decentralized model predictive control (DMPC) strategy for drinking water networks (DWN) is proposed. The DWN is partitioned in a set of subnetworks using a partitioning algorithm that makes use of the topology of the network, the information about the actuator usage and heuristics. A suboptimal DMPC strategy was derived that allows the hierarchical solution of the set of MPC controllers used to control each partition. A comparative study between the centralized MPC (CMPC) and DMPC approaches is developed on the case study, which consists in an aggregate version of the Barcelona DWN. Results have shown the effectiveness of the proposed DMPC approach in terms of the computation time while an admissible level of suboptimality is obtained in all the considered scenarios.
Categories
control theory, optimisation, predictive control.
Author keywords
model predictive control, decentralized control, drinking water networks, hierarchical control
Scientific reference
C. Ocampo-Martínez, V. Fambrini, D. Barcelli and V. Puig. Model predictive control of drinking water networks: A hierarchical and decentralized approach, 2010 American Control Conference, 2010, Baltimore MD, USA, pp. 3951-3956, IEEE.
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