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Energy-efficient control of pump units based on neural-network parameter observer
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Burian, S. O., Kiselychnyk, Oleh, Pushkar, M. V., Reshetnik, V. S. and Zemlianukhina, H. Y. (2020) Energy-efficient control of pump units based on neural-network parameter observer. Technical Electrodynamics , 2020 (1). pp. 71-77. doi:10.15407/techned2020.01.071 ISSN 1607-7970.
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Official URL: https://doi.org/10.15407/techned2020.01.071
Abstract
An observer based on an artificial neural network was designed. The observer determines the pumping unit performance depending on the operating point. Determination is based on the measured technological coordinates of the system and the pressure of the turbomechanism. Three neural networks were designed for three types of the productivity observer. The developed observer was investigated by the simulation method within different variations of disturbing actions, such as hydraulic resistance of the hydraulic system and geodetic pressure. A comparative analysis of three types of the productivity observer, built with using the pressure and different signals of the system with arbitrary change of hydraulic resistance was given. By the use of the pump unit efficiency observer, in addition to the results presented earlier, the efficiency of the productivity observer, which built with using different sensors, in water supply systems with two series-connected pump units, operating for filling the large tank, is researched. In the water supply system one pump speed is regulated, the other is unregulated. References 14, figures 5.
Item Type: | Journal Article | ||||||
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Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software T Technology > TC Hydraulic engineering. Ocean engineering T Technology > TJ Mechanical engineering and machinery T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||
Library of Congress Subject Headings (LCSH): | Neural networks (Computer science), Pumping stations, Mechanical movements, Hydraulics, Automatic control -- Computer programs | ||||||
Journal or Publication Title: | Technical Electrodynamics | ||||||
Publisher: | The National Academy of Sciences of Ukraine | ||||||
ISSN: | 1607-7970 | ||||||
Official Date: | 16 January 2020 | ||||||
Dates: |
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Volume: | 2020 | ||||||
Number: | 1 | ||||||
Page Range: | pp. 71-77 | ||||||
DOI: | 10.15407/techned2020.01.071 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||
Copyright Holders: | Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | ||||||
Date of first compliant deposit: | 24 March 2020 | ||||||
Date of first compliant Open Access: | 25 March 2020 | ||||||
RIOXX Funder/Project Grant: |
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