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

Download the digital copy of the doc pdf document

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.