Input data for mathematical modeling and numerical simulation of switched reluctance machines

The modeling and simulation of Switched Reluctance (SR) machine and drives is challenging for its dual pole salient structure and magnetic saturation. This paper presents the input data in form of experimentally obtained magnetization characteristics. This data was used for computer simulation based...

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Detalles Bibliográficos
Autores principales: Memon, Ali Asghar, Shaikh, Muhammad Mujtaba
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Engineering
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5567386/
https://www.ncbi.nlm.nih.gov/pubmed/28861447
http://dx.doi.org/10.1016/j.dib.2017.07.044
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author Memon, Ali Asghar
Shaikh, Muhammad Mujtaba
author_facet Memon, Ali Asghar
Shaikh, Muhammad Mujtaba
author_sort Memon, Ali Asghar
collection PubMed
description The modeling and simulation of Switched Reluctance (SR) machine and drives is challenging for its dual pole salient structure and magnetic saturation. This paper presents the input data in form of experimentally obtained magnetization characteristics. This data was used for computer simulation based model of SR machine, “Selecting Best Interpolation Technique for Simulation Modeling of Switched Reluctance Machine” [1], “Modeling of Static Characteristics of Switched Reluctance Motor” [2]. This data is primary source of other data tables of co energy and static torque which are also among the required data essential for the simulation and can be derived from this data. The procedure and experimental setup for collection of the data is presented in detail.
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spelling pubmed-55673862017-08-31 Input data for mathematical modeling and numerical simulation of switched reluctance machines Memon, Ali Asghar Shaikh, Muhammad Mujtaba Data Brief Engineering The modeling and simulation of Switched Reluctance (SR) machine and drives is challenging for its dual pole salient structure and magnetic saturation. This paper presents the input data in form of experimentally obtained magnetization characteristics. This data was used for computer simulation based model of SR machine, “Selecting Best Interpolation Technique for Simulation Modeling of Switched Reluctance Machine” [1], “Modeling of Static Characteristics of Switched Reluctance Motor” [2]. This data is primary source of other data tables of co energy and static torque which are also among the required data essential for the simulation and can be derived from this data. The procedure and experimental setup for collection of the data is presented in detail. Elsevier 2017-07-20 /pmc/articles/PMC5567386/ /pubmed/28861447 http://dx.doi.org/10.1016/j.dib.2017.07.044 Text en © 2017 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Engineering
Memon, Ali Asghar
Shaikh, Muhammad Mujtaba
Input data for mathematical modeling and numerical simulation of switched reluctance machines
title Input data for mathematical modeling and numerical simulation of switched reluctance machines
title_full Input data for mathematical modeling and numerical simulation of switched reluctance machines
title_fullStr Input data for mathematical modeling and numerical simulation of switched reluctance machines
title_full_unstemmed Input data for mathematical modeling and numerical simulation of switched reluctance machines
title_short Input data for mathematical modeling and numerical simulation of switched reluctance machines
title_sort input data for mathematical modeling and numerical simulation of switched reluctance machines
topic Engineering
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5567386/
https://www.ncbi.nlm.nih.gov/pubmed/28861447
http://dx.doi.org/10.1016/j.dib.2017.07.044
work_keys_str_mv AT memonaliasghar inputdataformathematicalmodelingandnumericalsimulationofswitchedreluctancemachines
AT shaikhmuhammadmujtaba inputdataformathematicalmodelingandnumericalsimulationofswitchedreluctancemachines

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