Alleviating the risk of sewer flooding using Fuzzy Logic in a real time control system- an experimental study

Mohamad Abdel-Aal, Will Shepherd, Steve Mounce, Sonja Ostojin, Alma Schellart, James Shucksmith, Peter Skipworth, Simon Tait

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes a data driven (Fuzzy Logic) control algorithm for use in a real time control (RTC) system within a combined sewer system. Implementation of local RTC will enable utilisation of the existing capacity within a sewer network and so alleviate the risk of sewer flooding using commercially available flow control solutions and a data driven approach.A full scale laboratory experiment will be utilised to test the proposed control algorithm using a vertical sluice gate.
Original languageEnglish
Title of host publication8th International Conference on Sewer Processes & Networks.
Place of PublicationRotterdam
Number of pages4
DOIs
Publication statusPublished - 2016
Event8 th International Conference on Sewer Processes and Networks - Rotterdam, Netherlands
Duration: 31 Aug 20162 Sep 2016

Conference

Conference8 th International Conference on Sewer Processes and Networks
CountryNetherlands
CityRotterdam
Period31/08/162/09/16

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