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Sensorless Modeling of Varying Pulse Width Modulator Resolutions in Three-Phase Induction Motors
A sensorless algorithm was developed to predict rotor speeds in an electric three-phase induction motor. This sensorless model requires a measurement of the stator currents and voltages, and the rotor speed is predicted accurately without any mechanical measurement of the rotor speed. A model of an...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5226809/ https://www.ncbi.nlm.nih.gov/pubmed/28076418 http://dx.doi.org/10.1371/journal.pone.0168149 |
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author | Marko, Matthew David Shevach, Glenn |
author_facet | Marko, Matthew David Shevach, Glenn |
author_sort | Marko, Matthew David |
collection | PubMed |
description | A sensorless algorithm was developed to predict rotor speeds in an electric three-phase induction motor. This sensorless model requires a measurement of the stator currents and voltages, and the rotor speed is predicted accurately without any mechanical measurement of the rotor speed. A model of an electric vehicle undergoing acceleration was built, and the sensorless prediction of the simulation rotor speed was determined to be robust even in the presence of fluctuating motor parameters and significant sensor errors. Studies were conducted for varying pulse width modulator resolutions, and the sensorless model was accurate for all resolutions of sinusoidal voltage functions. |
format | Online Article Text |
id | pubmed-5226809 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-52268092017-01-31 Sensorless Modeling of Varying Pulse Width Modulator Resolutions in Three-Phase Induction Motors Marko, Matthew David Shevach, Glenn PLoS One Research Article A sensorless algorithm was developed to predict rotor speeds in an electric three-phase induction motor. This sensorless model requires a measurement of the stator currents and voltages, and the rotor speed is predicted accurately without any mechanical measurement of the rotor speed. A model of an electric vehicle undergoing acceleration was built, and the sensorless prediction of the simulation rotor speed was determined to be robust even in the presence of fluctuating motor parameters and significant sensor errors. Studies were conducted for varying pulse width modulator resolutions, and the sensorless model was accurate for all resolutions of sinusoidal voltage functions. Public Library of Science 2017-01-11 /pmc/articles/PMC5226809/ /pubmed/28076418 http://dx.doi.org/10.1371/journal.pone.0168149 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication. |
spellingShingle | Research Article Marko, Matthew David Shevach, Glenn Sensorless Modeling of Varying Pulse Width Modulator Resolutions in Three-Phase Induction Motors |
title | Sensorless Modeling of Varying Pulse Width Modulator Resolutions in Three-Phase Induction Motors |
title_full | Sensorless Modeling of Varying Pulse Width Modulator Resolutions in Three-Phase Induction Motors |
title_fullStr | Sensorless Modeling of Varying Pulse Width Modulator Resolutions in Three-Phase Induction Motors |
title_full_unstemmed | Sensorless Modeling of Varying Pulse Width Modulator Resolutions in Three-Phase Induction Motors |
title_short | Sensorless Modeling of Varying Pulse Width Modulator Resolutions in Three-Phase Induction Motors |
title_sort | sensorless modeling of varying pulse width modulator resolutions in three-phase induction motors |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5226809/ https://www.ncbi.nlm.nih.gov/pubmed/28076418 http://dx.doi.org/10.1371/journal.pone.0168149 |
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