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

Hugo Augusto Marinho Moreira | Zendy; Heber Pimentel Gomes | Zendy; Juan Moisés Maurício Villanueva | Zendy; Saulo de Tarso Marques Bezerra | Zendy

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

Author(s) -

Hugo Augusto Marinho Moreira,

Heber Pimentel Gomes,

Juan Moisés Maurício Villanueva,

Saulo de Tarso Marques Bezerra

Publication year - 2020

Publication title -

water science and technology water supply

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.318

H-Index - 39

eISSN - 1607-0798

pISSN - 1606-9749

DOI - 10.2166/ws.2020.379

Subject(s) - control theory (sociology) , controller (irrigation) , fuzzy logic , fuzzy control system , transient (computer programming) , computer science , stability (learning theory) , energy consumption , artificial neural network , control engineering , engineering , control (management) , artificial intelligence , machine learning , operating system , electrical engineering , agronomy , biology

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.

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