Robust model predictive control with signal temporal logic constraints for Barcelona wastewater system
IFAC World Congress (IFAC)
Zadeh Soudjani, Sadegh
Majumdar Soudjani, Rupak
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.
automation, control theory, optimisation.
Model Predictive Control, Signal Temporal Logic, Robust Control, Mixed Integer Quadratic Programing, Wastewater Management
S. Farahani, S. Zadeh, R. Majumdar and C. Ocampo-Martínez. Robust model predictive control with signal temporal logic constraints for Barcelona wastewater system, 20th IFAC World Congress, 2017, Toulouse, France, IFAC, to appear.