Fuzzy control applied on a benchmark simulation model for sewer networks

This paper proposes the use of fuzzy logic based structures for the control of storage tank capacities within a new catchment and sewer network benchmark model. The control structures are considering wastewater level in the storage tank, the level in the storage tank from downstream and influent flow rate, in order to have a better use of the storage capacity of the tanks during the rain events and to increase the coordination between the tanks. The final aim is to improve the functioning of the sewer network in terms of overflows. The paper also proposes a system modification by considering the possibility to have overflows from a tank that in the initial model doesn't have this option. The obtained results by numerical simulation of the catchment and sewer network benchmark model fully justify the considered approach, being one of the first works that uses this new benchmark model.