Robust model predictive control with signal temporal logic constraints for Barcelona wastewater system
10.1016/j.ifacol.2017.08.618
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/113702
Tipus de documentText en actes de congrés
Data publicació2017
EditorElsevier
Condicions d'accésAccés obert
Llevat que s'hi indiqui el contrari, els
continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Abstract
We propose a traceable approach for the control of the Barcelona wastewater system that is subject to sudden weather-change events within the Mediterranean climate.Due to the unpredictable weather changes, lack of appropriate control methodologies may result in overflow in the sewage system, which causes environmental contamination (pollution). In order to improve the management of the wastewater system and to reduce the contamination, we propose robust model predictive control, which is an online control approach that designs the control actions (i.e., flows through network actuators) under the worst-case scenario while minimizing the associated operational costs. We employ signal temporal logic to specify the desired behavior of the controlled system once an overflow occurs and encode this behavior as constraints so that the synthesized controller reacts in time to decrease and eliminate the overflow. We apply our proposed technique to a representative catchment of the Barcelona wastewater system to illustrate its effectiveness.
Descripció
© <year>. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/
CitacióFarahani, S., Zadeh, S., Majumdar, R., Ocampo-Martinez, C.A. Robust model predictive control with signal temporal logic constraints for Barcelona wastewater system. A: World Congress of the International Federation of Automatic Control. "IFAC Proceedings Volumes (IFAC-PapersOnline), 50-1 (2017), 20th IFAC World Congress, Toulosse, France, 9-14 July 2017: proceedings". Toulouse: Elsevier, 2017, p. 6594-6600.
ISBN2405-8963
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