Publication
Tuning of predictive controllers for drinking water networked systems
Conference Article
Conference
IFAC World Congress (IFAC)
Edition
18th
Pages
1-6
Doc link
http://dx.doi.org/10.3182/20110828-6-IT-1002.00415
File
Authors
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Toro Olmedo, Rodrigo
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Ocampo Martínez, Carlos A.
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Logist, Filip
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Van Impe, Jan
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Puig Cayuela, Vicenç
Projects associated
Abstract
In this paper, two tuning strategies for a multi-objective predictive controller applied to a drinking water network (DWN) are proposed. A control-oriented DWN model is briefly reviewed, together with its management objectives. A comparison of methods to explore the Pareto front of the multi-objective optimisation (MOO) problem behind the predictive controller is presented with an eective normalisation method for the model predictive control (MPC) objectives. The proposed tuning strategies, applied to a real-life case study, are compared. Finally, simulation results show that the proposed MPC tuning strategies outperform the baseline results.
Categories
control theory, optimisation, predictive control.
Author keywords
predictive control, large-scale systems, drinking water networks, optimization, pareto-optimal sets
Scientific reference
R. Toro, C. Ocampo-Martínez, F. Logist, J. Van Impe and V. Puig. Tuning of predictive controllers for drinking water networked systems, 18th IFAC World Congress, 2011, Milan, Italy, pp. 1-6.
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