Periodic Nonlinear Economic Model Predictive Control with Changing Horizon for Water Distribution Networks * *This work has been partially funded by the Spanish Government and FEDER through the projects CICYT ECOCIS (ref. DPI2013-48243), CICYT DEOCS (ref. DPI2016-76493) and CICYT HAR-CRICS (ref. DPI2014-58104-R)
| Autor: | Gabriela Cembrano, David Muñoz de la Peña, Jose R. Salvador, Vicenç Puig, Ye Wang |
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| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
Engineering Operations research business.industry Horizon 02 engineering and technology Stability (probability) Constraint (information theory) Nonlinear system Model predictive control 020901 industrial engineering & automation Control and Systems Engineering Control theory Convergence (routing) 0202 electrical engineering electronic engineering information engineering Trajectory 020201 artificial intelligence & image processing business |
| Zdroj: | IFAC-PapersOnLine. 50:6588-6593 |
| ISSN: | 2405-8963 |
| DOI: | 10.1016/j.ifacol.2017.08.617 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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