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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Main Authors:	Ali Asghar Memon, Muhammad Mujtaba Shaikh
Format:	Article
Language:	English
Published:	Elsevier 2017-10-01
Series:	Data in Brief
Subjects:	Switched reluctance machine Flux linkage Static torque Lab VIEW
Online Access:	http://www.sciencedirect.com/science/article/pii/S2352340917303463

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spelling	doaj-e020681d679e442fb689fc28a13229ed2020-11-25T02:12:28ZengElsevierData in Brief2352-34092017-10-0114C13814210.1016/j.dib.2017.07.044Input data for mathematical modeling and numerical simulation of switched reluctance machinesAli Asghar Memon0Muhammad Mujtaba Shaikh1Department of Electrical Engineering, Mehran University of Engineering and Technology, Jamshoro, PakistanDepartment of Basic Sciences and Related Studies, Mehran University of Engineering and Technology, Jamshoro, PakistanThe 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.http://www.sciencedirect.com/science/article/pii/S2352340917303463Switched reluctance machineFlux linkageStatic torqueLab VIEW
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Ali Asghar Memon Muhammad Mujtaba Shaikh
spellingShingle	Ali Asghar Memon Muhammad Mujtaba Shaikh Input data for mathematical modeling and numerical simulation of switched reluctance machines Data in Brief Switched reluctance machine Flux linkage Static torque Lab VIEW
author_facet	Ali Asghar Memon Muhammad Mujtaba Shaikh
author_sort	Ali Asghar Memon
title	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_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_sort	input data for mathematical modeling and numerical simulation of switched reluctance machines
publisher	Elsevier
series	Data in Brief
issn	2352-3409
publishDate	2017-10-01
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.
topic	Switched reluctance machine Flux linkage Static torque Lab VIEW
url	http://www.sciencedirect.com/science/article/pii/S2352340917303463
work_keys_str_mv	AT aliasgharmemon inputdataformathematicalmodelingandnumericalsimulationofswitchedreluctancemachines AT muhammadmujtabashaikh inputdataformathematicalmodelingandnumericalsimulationofswitchedreluctancemachines
_version_	1724909193659416576

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

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