The control to aggregates of pumping stations using a regulator based on a neural network with fuzzy logic

¹ Starooskolsky Technological Institute of the Moscow Institute of Steel and Alloys, 42 Makarenko District, Stary Oskol, Belgorod region, Russia
² O.M. Beketov National University of Urban Economy in Kharkov, 17, Marshala Bazhanova str., Kharkov, 61002, Ukraine
³ Karazin National University in Kharkov, 6, Svobody Square, Ukraine
⁴ National University of Radio Electronics in Kharkov, 14, Nauki Avenue, Ukraine

^* Corresponding author: daulding@mail.ru

Abstract

A pumping station control system is considered using a controller based on a fuzzy logic neural network. The simulation of the classical and fuzzy regulators. The possibility of the implementation of the controller in the form of an adaptive multilayer neural network is shown. The use of the theory of fuzzy sets in combination with the theory of neural networks to create a fuzzy-neural regulator to control pumping units provides a promising approach. Simulation modeling and real operation have shown that fuzzy-logic regulators have a number of advantages over classical regulators, which allow the use of form and limitations. Using the neural network model allows you to add the properties of adaptability and learning. The fuzzy-neural controller for controlling pumping units is promising in terms of efficiency and safety by controlling pumping stations.