Frequency Converter as a Node for Edge Computing of Big Data, Related to Drive Efficiency, in Industrial Internet of Things

The article presents a method of generating key performance indicators related to electric motor energy efficiency on the basis of Big Data gathered and processed in a frequency converter. The authors proved that using the proposed solution, it is possible to specify the relation between the control...

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Autores principales: Mariusz Piotr Hetmańczyk, Julian Malaka
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/988664aff8ac4273a98a2181c2dfd427
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spelling oai:doaj.org-article:988664aff8ac4273a98a2181c2dfd4272021-11-11T14:56:49ZFrequency Converter as a Node for Edge Computing of Big Data, Related to Drive Efficiency, in Industrial Internet of Things10.3390/app112197842076-3417https://doaj.org/article/988664aff8ac4273a98a2181c2dfd4272021-10-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/9784https://doaj.org/toc/2076-3417The article presents a method of generating key performance indicators related to electric motor energy efficiency on the basis of Big Data gathered and processed in a frequency converter. The authors proved that using the proposed solution, it is possible to specify the relation between the control mode of an electric drive and the control quality-energy consumption ratio in the start-up phase as well as in the steady operation with various mechanical loads. The tests were carried out on a stand equipped with two electric motors (one driving, the other used to apply the load by adjusting the parameters of the built-in brake). The measurements were made in two load cases, for motor control modes available in industrially applied frequency converters (scalar V/f, vector Voltage flux control without encoder, vector voltage flux control with encoder, vector current flux control, and vector current flux control with torque control). During the experiments, values of the current intensities (active and output), the actual frequency value, IxT utilization factor, relative torque, and the current rotational speed were measured and processed. Based on the data, the level of energy efficiency was determined for various control modes.Mariusz Piotr HetmańczykJulian MalakaMDPI AGarticleenergy efficiencyelectric driveelectric motor controlfrequency converterindustrial Internet of Thingsedge computingTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 9784, p 9784 (2021)
institution DOAJ
collection DOAJ
language EN
topic energy efficiency
electric drive
electric motor control
frequency converter
industrial Internet of Things
edge computing
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
spellingShingle energy efficiency
electric drive
electric motor control
frequency converter
industrial Internet of Things
edge computing
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
Mariusz Piotr Hetmańczyk
Julian Malaka
Frequency Converter as a Node for Edge Computing of Big Data, Related to Drive Efficiency, in Industrial Internet of Things
description The article presents a method of generating key performance indicators related to electric motor energy efficiency on the basis of Big Data gathered and processed in a frequency converter. The authors proved that using the proposed solution, it is possible to specify the relation between the control mode of an electric drive and the control quality-energy consumption ratio in the start-up phase as well as in the steady operation with various mechanical loads. The tests were carried out on a stand equipped with two electric motors (one driving, the other used to apply the load by adjusting the parameters of the built-in brake). The measurements were made in two load cases, for motor control modes available in industrially applied frequency converters (scalar V/f, vector Voltage flux control without encoder, vector voltage flux control with encoder, vector current flux control, and vector current flux control with torque control). During the experiments, values of the current intensities (active and output), the actual frequency value, IxT utilization factor, relative torque, and the current rotational speed were measured and processed. Based on the data, the level of energy efficiency was determined for various control modes.
format article
author Mariusz Piotr Hetmańczyk
Julian Malaka
author_facet Mariusz Piotr Hetmańczyk
Julian Malaka
author_sort Mariusz Piotr Hetmańczyk
title Frequency Converter as a Node for Edge Computing of Big Data, Related to Drive Efficiency, in Industrial Internet of Things
title_short Frequency Converter as a Node for Edge Computing of Big Data, Related to Drive Efficiency, in Industrial Internet of Things
title_full Frequency Converter as a Node for Edge Computing of Big Data, Related to Drive Efficiency, in Industrial Internet of Things
title_fullStr Frequency Converter as a Node for Edge Computing of Big Data, Related to Drive Efficiency, in Industrial Internet of Things
title_full_unstemmed Frequency Converter as a Node for Edge Computing of Big Data, Related to Drive Efficiency, in Industrial Internet of Things
title_sort frequency converter as a node for edge computing of big data, related to drive efficiency, in industrial internet of things
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/988664aff8ac4273a98a2181c2dfd427
work_keys_str_mv AT mariuszpiotrhetmanczyk frequencyconverterasanodeforedgecomputingofbigdatarelatedtodriveefficiencyinindustrialinternetofthings
AT julianmalaka frequencyconverterasanodeforedgecomputingofbigdatarelatedtodriveefficiencyinindustrialinternetofthings
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