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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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Model Parameters of Electric Motors for Desired Operating Conditions

SEVINC, A. See more information about SEVINC, A. on SCOPUS See more information about SEVINC, A. on IEEExplore See more information about SEVINC, A. on Web of Science
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Download PDF pdficon (1,231 KB) | Citation | Downloads: 702 | Views: 1,016

Author keywords
computer hacking, computer security, debugging, reverse engineering, software protection

References keywords
motor(16), design(16), synchronous(10), induction(8), permanent(7), magnet(7), rotor(5), applications(5), wound(4), optimal(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2019-05-31
Volume 19, Issue 2, Year 2019, On page(s): 29 - 36
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2019.02004
Web of Science Accession Number: 000475806300004
SCOPUS ID: 85066314936

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Researchers dealing with electric motor control simulations need motor parameters for some desired operating conditions. Despite such an obvious need, no algorithm yielding motor parameters can be found even for the basic set of desired /voltage, output power, speed and efficiency/ in the literature. A lot of electric motor design methods exist; but all give the physical design parameters for manufacturing such as numbers and dimensions of slots, magnets and turns. They are usually based on design requirements that only experienced people can understand and the mentioned basic demand set is not completely included among them. This article covers the deficiency of the algorithms giving all the model parameters required for the control simulations for dc servo, induction, and synchronous motors according to simple design requirements that an inexperienced researcher can easily understand. A transformer design algorithm is also included. The induction motor and salient-pole synchronous motor algorithms are the main contributions. The propositions can be used even if the demands are given for generator mode with some care. These algorithms may also be considered as another kind of design and they may help to reduce physical designs to lower-level steps according to simple design requirements.

References | Cited By  «-- Click to see who has cited this paper

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[2] J. Cros, M. T. Kakhki, G. C. R. Sincero, C. A. Martins, P. Viarouge, "Design methodology for small brush and brushless DC motors," in Vehicle Engineering. Academy Publish team, pp.207-235, 2014.

[3] C.-G. Lee, H.-S. Choi, "FEA-based optimal design of permanent magnet DC motor using internet distributed computing," Journal of IKEEE, vol. 13, 284-291, Sep. 2009.

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[CrossRef] [Web of Science Times Cited 1] [SCOPUS Times Cited 2]

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[CrossRef] [SCOPUS Times Cited 43]

[8] S. Cicale, L. Albini, F. Parasiliti, M. Villani, "Design of a permanent magnet synchronous motor with grain oriented electrical steel for direct-drive elevators", Int. Conf. on Electrical Machines, Marseille, France, 2012, pp. 1256-1263.
[CrossRef] [SCOPUS Times Cited 18]

[9] M. Lefik, "Design of permanent magnet synchronous motors including thermal aspects", COMPEL: Int. J. for Computation and Mathematics in Electrical and Electronic Eng., vol. 34 pp. 561-572, 2015.
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[11] S. J. Kwon, D. Lee, and S. Y. Jung, "Design and characteristic analysis of wound rotor synchronous motor for ISG according to field current combination," Trans. Korean Institute of Electrical Engineers, vol. 62, pp. 1228-1233, Sep. 2013.
[CrossRef] [SCOPUS Times Cited 1]

[12] G.-H. Lee, H.-H. Lee, Q. Wang, "Development of wound rotor synchronous motor for belt-driven e-assist system," Journal of Magnetics, vol. 18, pp.487-493, Dec. 2018.
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[14] F. Meier, S. Meier, J. Soulard, "Emetor - An educational web-based design tool for permanent-magnet synchronous machines," in Proc. of Int. Conf. on Electrical Machines, Vilamoura, Portugal, 2008, paper id. 866.

[15] Y. Yang, S. M. Castano, R. Yang, M. Kasprzak, B. Bilgin, A. Sathyan, H. Dadkhah, A. Emadi, "Design and Comparison of Interior Permanent Magnet Motor Topologies for Traction Applications", IEEE Trans. Transportation Electrification, vol. 3, pp. 86-97, Mar. 2017.
[CrossRef] [Web of Science Times Cited 82] [SCOPUS Times Cited 97]

[16] H. Saavedra, J.-R. Riba, L. Romeral, "Multi-objective optimal Design of a Five-Phase Fault-Tolerant Axial Flux PM Motor", Advances in Electrical and Computer Engineering, vol. 15, pp. 69-76, Feb. 2015.
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[17] A. Sevinc, "Minimal controller synthesis algorithms with output feedback and their generalization," Turkish Journal of Electrical Engineering & Computer Sciences, vol. 21, pp. 2329-2344, Nov. 2013.
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[18] S. R. Bowes, A. Sevinç, D. Holliday, "New natural observer applied to speed-sensorless dc servo and induction motors," IEEE Trans. Industrial Electronics, vol. 51, pp. 1025-1032, Oct. 2004.
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[19] C. B. Jacobina, J. Bione Fo, F. Salvadori, A. M. N. Lima, and L. A. S. Ribeiro, "A simple indirect field oriented control of induction machines without speed measurement," in IEEE-IAS Conf. Rec., Rome, Italy, 2000, pp. 1809-1813.

[20] K. Koga, R. Ueda, T. Sonoda, "Stability problem in induction motor drive system," in IEEE-IAS Conf. Rec., Pittsburgh, PA, USA,1988, vol. 1, pp. 129-136.

[21] A. Abid, M. Benhamed, L. Sbita, "A DFIM sensor faults multi-model diagnosis approach based on an adaptive PI multiobserver - experimental validation," Int. J. Modern Nonlinear Theory and Application, vol. 4, pp. 161-178, June 2015.

[22] E. L. C. Arroyo, "Modeling and Simulation of Permanent Magnet Synchronous Motor Drive System," M.Sc. thesis, Dept. Electrical Eng., University of Puerto Rico, Puerto Rico, 2006.

[23] A. E. Fitzgerald, C. Kingsley, Jr., S. D. Umans, Electric Machinery. New York, NY, USA: McGraw-Hill, pp. 660-661, 2003.

[24] G. Friedrich, "Modelling of a wound rotor salient pole synchronous machine and its converter in the constant power zone," in Congres EVS-17, 2000.

References Weight

Web of Science® Citations for all references: 207 TCR
SCOPUS® Citations for all references: 321 TCR

Web of Science® Average Citations per reference: 8 ACR
SCOPUS® Average Citations per reference: 13 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2021-10-16 22:35 in 128 seconds.

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Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.

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