Real-time neuro-fuzzy controller for pressure adjustment in water distribution systems

This work applied a neuro-fuzzy technique for real-time pressure control in water distribution systems with variable demand. The technique acted to control the rotation speed of the pumping system, aiming mainly at increasing energy efficiency. Fuzzy, neural and neuro-fuzzy controllers were tested i...

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Autores principales:	Hugo Augusto Marinho Moreira, Heber Pimentel Gomes, Juan Moises Mauricio Villanueva, Saulo de Tarso Marques Bezerra
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	artificial intelligence artificial neural networks automation energy efficiency fuzzy logic water supply Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506
Acceso en línea:	https://doaj.org/article/68e1016c4155438fa5b4695a8dd0b765
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id	oai:doaj.org-article:68e1016c4155438fa5b4695a8dd0b765
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spelling	oai:doaj.org-article:68e1016c4155438fa5b4695a8dd0b7652021-11-06T07:12:36ZReal-time neuro-fuzzy controller for pressure adjustment in water distribution systems1606-97491607-079810.2166/ws.2020.379https://doaj.org/article/68e1016c4155438fa5b4695a8dd0b7652021-05-01T00:00:00Zhttp://ws.iwaponline.com/content/21/3/1177https://doaj.org/toc/1606-9749https://doaj.org/toc/1607-0798This work applied a neuro-fuzzy technique for real-time pressure control in water distribution systems with variable demand. The technique acted to control the rotation speed of the pumping system, aiming mainly at increasing energy efficiency. Fuzzy, neural and neuro-fuzzy controllers were tested in an experimental setup to compare their performances in a transient regime, a permanent regime, and with respect to disturbances applied to the system. To evaluate the efficiency of the system, a demand variation curve was emulated for different operating conditions. The results demonstrate that the neuro-fuzzy controller (NFC) presented a significant increase in pumping system efficiency and a reduction in specific energy consumption of up to 79.7% when compared to the other controllers. Target pressures were kept close to the set-point values with low hydraulic transients and maintained satisfactory stability (error <8%) under severe situations of demand variation. It is concluded that the NFC presented superior results when compared with the other analyzed controllers. HIGHLIGHTS A neuro-fuzzy controller for real-time pressure control of WDS is proposed.; The performance of the neuro-fuzzy controller is robust.; The effectiveness of controller has been demonstrated through experimental tests.; Improving the efficiency of pumping systems contributes to energy conservation.; Optimal pumping reduces up to 79.7% of the specific energy consumption.;Hugo Augusto Marinho MoreiraHeber Pimentel GomesJuan Moises Mauricio VillanuevaSaulo de Tarso Marques BezerraIWA Publishingarticleartificial intelligenceartificial neural networksautomationenergy efficiencyfuzzy logicwater supplyWater supply for domestic and industrial purposesTD201-500River, lake, and water-supply engineering (General)TC401-506ENWater Supply, Vol 21, Iss 3, Pp 1177-1187 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	artificial intelligence artificial neural networks automation energy efficiency fuzzy logic water supply Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506
spellingShingle	artificial intelligence artificial neural networks automation energy efficiency fuzzy logic water supply Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506 Hugo Augusto Marinho Moreira Heber Pimentel Gomes Juan Moises Mauricio Villanueva Saulo de Tarso Marques Bezerra Real-time neuro-fuzzy controller for pressure adjustment in water distribution systems
description	This work applied a neuro-fuzzy technique for real-time pressure control in water distribution systems with variable demand. The technique acted to control the rotation speed of the pumping system, aiming mainly at increasing energy efficiency. Fuzzy, neural and neuro-fuzzy controllers were tested in an experimental setup to compare their performances in a transient regime, a permanent regime, and with respect to disturbances applied to the system. To evaluate the efficiency of the system, a demand variation curve was emulated for different operating conditions. The results demonstrate that the neuro-fuzzy controller (NFC) presented a significant increase in pumping system efficiency and a reduction in specific energy consumption of up to 79.7% when compared to the other controllers. Target pressures were kept close to the set-point values with low hydraulic transients and maintained satisfactory stability (error <8%) under severe situations of demand variation. It is concluded that the NFC presented superior results when compared with the other analyzed controllers. HIGHLIGHTS A neuro-fuzzy controller for real-time pressure control of WDS is proposed.; The performance of the neuro-fuzzy controller is robust.; The effectiveness of controller has been demonstrated through experimental tests.; Improving the efficiency of pumping systems contributes to energy conservation.; Optimal pumping reduces up to 79.7% of the specific energy consumption.;
format	article
author	Hugo Augusto Marinho Moreira Heber Pimentel Gomes Juan Moises Mauricio Villanueva Saulo de Tarso Marques Bezerra
author_facet	Hugo Augusto Marinho Moreira Heber Pimentel Gomes Juan Moises Mauricio Villanueva Saulo de Tarso Marques Bezerra
author_sort	Hugo Augusto Marinho Moreira
title	Real-time neuro-fuzzy controller for pressure adjustment in water distribution systems
title_short	Real-time neuro-fuzzy controller for pressure adjustment in water distribution systems
title_full	Real-time neuro-fuzzy controller for pressure adjustment in water distribution systems
title_fullStr	Real-time neuro-fuzzy controller for pressure adjustment in water distribution systems
title_full_unstemmed	Real-time neuro-fuzzy controller for pressure adjustment in water distribution systems
title_sort	real-time neuro-fuzzy controller for pressure adjustment in water distribution systems
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/68e1016c4155438fa5b4695a8dd0b765
work_keys_str_mv	AT hugoaugustomarinhomoreira realtimeneurofuzzycontrollerforpressureadjustmentinwaterdistributionsystems AT heberpimentelgomes realtimeneurofuzzycontrollerforpressureadjustmentinwaterdistributionsystems AT juanmoisesmauriciovillanueva realtimeneurofuzzycontrollerforpressureadjustmentinwaterdistributionsystems AT saulodetarsomarquesbezerra realtimeneurofuzzycontrollerforpressureadjustmentinwaterdistributionsystems
_version_	1718443798877437952

Real-time neuro-fuzzy controller for pressure adjustment in water distribution systems

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