Publication

Periodic nonlinear economic model predictive control with changing horizon for water distribution networks

Conference Article

Conference

IFAC World Congress (IFAC)

Edition

20th

Pages

6588–6593

Doc link

https://doi.org/10.1016/j.ifacol.2017.08.617

File

Download the digital copy of the doc pdf document

Abstract

A periodic nonlinear economic model predictive control (EMPC) with changing prediction horizon is proposed for the optimal management of water distribution networks (WDNs). The control model of the WDN is built by means of nonlinear differential-algebraic equations in which both the hydraulic pressure and flow variables are taken into account. The model allows the controller to consider minimum pressure constraints at the demands. A periodic terminal constraint is employed in order to guarantee closed-loop stability. The prediction horizon is modified on-line in order to guarantee convergence to the optimal periodic trajectory. The proposed control strategy is verified with the case study of the Richmond water network in a realistic hydraulic simulator. Although there are modeling errors between the control model and hydraulic model, the closed-loop system converges to a sub-optimal periodic trajectory satisfying all the constraints.

Categories

predictive control.

Scientific reference

Y. Wang, J.R. Salvador, D. Muñoz de la Peña, V. Puig and G. Cembrano. Periodic nonlinear economic model predictive control with changing horizon for water distribution networks, 20th IFAC World Congress, 2017, Toulouse, France, Vol 50 of IFAC Papers Online, pp. 6588–6593, Elsevier.