Науковий вісник НГУ

The research of efficiency of the use of neuropredictor in the control system of water-supply pump electric drive

• 
• 

User Rating:  / 1

PoorBest 

Details

Category: Electrical Complexes and Systems

Last Updated on 16 March 2017

Published on 16 March 2017

Hits: 3918

Authors:

А.О.Lozynskyi, Dr. Sc. (Tech.), Prof.,“Lviv Polytechnic” National University, Lviv, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.; This email address is being protected from spambots. You need JavaScript enabled to view it.

А.S.Kutsyk, Dr. Sc. (Tech.), Prof.,“Lviv Polytechnic” National University, Lviv, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.; This email address is being protected from spambots. You need JavaScript enabled to view it., University of Science and Technology UTP, Bydgoszcz, Poland

О.F.Kinchur,National University of Water Management and Nature Resources Use, Rivne, Ukraine

Abstract:

Purpose. To substantiate the application of the artificial neural network predictors in the water-supply pump control systems for forecasting the water consumption within 24 hours.

Methodology. The data for synthesis of an artificial neural network predictor have been obtained by experimental research studies on the operating water supply system. The mathematical model of the electric drive system of a pump has been created by using the object-oriented method. This model takes into consideration the nonlinearity of magnetic core characteristics of an induction motor and existence of the hydraulic network with distributed parameters at the pump exit. Using computer simulation, the following aspects were researched: the frequency regulation mode of asynchronous drive of a pump, dynamic ratings of pump drive for predicted value of water consumption and quality performance of pressure regulation.

Findings.On the base of experimentally obtained data the artificial neural network predictor, which adequately forecasts the water consumption value within 24 hours, has been synthesized. The systems controlling an artificial neural network predictor pump have been synthesized; they realize different laws of the pump output pressure regulation. The laws of frequency control of water-supply pump electric drive system have been substantiated.

Originality. For the first time, it is proposed to use the artificial neural network predictor in the pump control system to forecast the value of water consumption and synthesis of the control influences on the pump electric drive with taking the water consumption into consideration. Results, which demonstrate the mutual influences of processes in the water-supply network and electromagnetic processes in the electric drive with induction motor, have been obtained.

Practical value.Due to consideration of the predicted value of water consumption in the offered pump control system, the efficacy of the water supply system has increased while the unproductive losses of water have decreased.

References/Списоклітератури

1.Leznov, B.S., 2006. Energozberezheniie i reguliruiemyi privod v nasosnykh i vozdukhoduvnykh ustanovkakh [An energy-savings and regulated drive in pumping and airblower plants]. Moscow: Energoatomizdat.

Лезнов Б.С. Энергосбережение и регулируемый привод в насосных и воздуходувных установках / Лезнов Б.С. – Москва: Энергоатомиздат, 2006 – 360 с.

2.Popovych, M.G. and Kiselychnyk, O.I., 2008. The tasks of automation of water-supply plants on the basis of electromechanics control system. Visnyk KDPU imeni M. Ostrogradskogo, No. 3(50), Part 2, pp. 8–12.

Попович М.Г. Задачі автоматизації установок водопостачання на основі електромеханічних систем керування / М.Г.Попович, О.І.Кіселичник; Вісник КДПУ імені М.Остроградського. – 2008. – Вип. 3 (50). – Ч. 2. – С. 8–12.

3.Popovych, M.G., Kiselychnyk, O.I. andSokolovskyi, O. F., 2008. Features of interactive control of pump installations. Visnyk ZhDTU, No. 4(47), pp. 174–179.

Попович М.Г. Особливості інтерактивного керування в насосних установках / М.Г.Попович, О.І.Кіселичник, О.Ф.Соколовський; Вісник ЖДТУ – 2008. – № 4(47). – С. 174–179.

4.Kiselychnyk, O., Bodson, M. and Werner, H., 2008. Overview of Energy Efficient Control Solutions for Water Supply Systems. Visnyk KDPU imeni M. Ostrogradskogo, No. 3(50), Part 2, pp. 8–12.

5.Pilchicovs, D. and Dzelzitis, E., 2013. Evaluation of Efficiency Improvement Potential Applying Proportional Presure Control of Variable Speed Pumps in Water Suplly. International Journal of Engineering Science Invention, Vol. 2, Is. 9, pp. 29–38, ISSN (Online): 2319 – 6734, ISSN (Print): 2319 – 6726

6.House-Peters L. and Heejun Chang, 2011. Urban water demand modeling: Review of concept, methods and organizing principles. Water resource research, Vol. 47, pp. 1–15. W05401.

7.Lozynskiy, A.O. and Kinchur, O.F., 2007. A synthesis of neuropredictor in the control system of pumping station on the basis of neural networks of signal direct distribution. In: Zbirnyk naukovych prac Dniprodzerzhynskogo derzhavnogo tehnichnogo universytetu. Tematychnyj vypusk. Problemy avtomatyzovanogo elektropryvoda, pp. 299–300.

Лозинський А.О. Синтез нейропредиктора системи керування електроприводом насосної станції на основі нейронних мереж прямого поширення сигналу / А.О.Лозинський, О.Ф.Кінчур: Збірник наукових праць Дніпродзержинського державного технічного університету. Тематичний випуск. „Проблеми автоматизованого електропривода“. – 2007. – С. 299–300.

8.Klepikov, V. andKorotaiev, P., 2012. Influence of the start-up pump electric drive parameters on pressure in the water supply system as lines with the distributed parameters. Electromechanical and energy saving systems, No. 3(19), pp. 203–204.

КлепиковВ.Б. Влияниепараметровпускаэлектроприводанасосногоагрегатанадавлениевводопроводнойсетикаклиниисраспределеннымипараметрами/ В.Б.Клепиков, П.А.Коротаев;Електромеханічнііенергозберігаючісистеми. – 2012. – Вип. 3(19). – С. 203–204.

9.Kravets, A.M. and Korenkova, T.V., 2009. Mathematical model of a hydrotransport complex with the guided pipeline armature. Electromechanical and energy saving systems, No. 2(6), pp. 29–32.

КравецА.М. Математическаямодельгидротранспортногокомплексасуправляемойтрубопроводнойарматурой/ А.М.Кравец, Т.В.Коренькова; Електромеханічнііенергозберігаючісистеми. – 2009. – Вип. 2(6). – C. 29−32.

10.Kutsyk, A.S., 2006. The object-oriented method for analysis of electromechanical systems. Technical electrodynamics, No. 2, pp. 57–63.

Куцик А.С. Об’єктно-орієнтований метод аналізу електромеханічних систем / А.С.Куцик; Технічна електродинаміка. – 2006. − №. 2. − С. 57–63.

01_2017_Lozynskyi
2017-03-13  909.69 KB  831

• < Prev