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Stefan cel Mare
University of Suceava
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ROMANIA

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


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  1/2015 - 6

Modeling of a Switched Reluctance Generator Using Cubic Spline Coefficients on the Phase Flux Linkage, Inductance and Torque Equations

KERDTUAD, P. See more information about KERDTUAD, P. on SCOPUS See more information about KERDTUAD, P. on IEEExplore See more information about KERDTUAD, P. on Web of Science, KITTIRATSATCHA, S. See more information about KITTIRATSATCHA, S. on SCOPUS See more information about KITTIRATSATCHA, S. on SCOPUS See more information about KITTIRATSATCHA, S. on Web of Science
 
Click to see author's profile on See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (916 KB) | Citation | Downloads: 335 | Views: 1,409

Author keywords
switched reluctance generator, cubic spline coefficients, flux linkage, phase inductance, electromagnetic torque

References keywords
reluctance(25), switched(23), power(8), motors(8), motor(7), electronics(7), conversion(7), modeling(6), model(6), magnetics(6)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2015-02-28
Volume 15, Issue 1, Year 2015, On page(s): 41 - 48
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2015.01006
Web of Science Accession Number: 000352158600006
SCOPUS ID: 84924809565

Abstract
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This paper presents a dynamic modeling method for a switched reluctance generator (SRG) by which cubic spline coefficients are applied to the phase flux linkage, phase inductance and electromagnetic torque equations. To obtain the cubic spline coefficients, the flux linkage data of the SRG are first determined by a finite element analysis (FEA) prior to fitting into a third order polynomial equation to derive the curve fitting flux linkage data. In addition, the accuracy of the curve fitting data is verified by comparing with the FEA flux linkage data. Then, the cubic spline coefficients are applied to the proposed dynamic model of the SRG to simulate the machine behaviors. The simulations were carried out in a single pulse mode with fixed conduction angles at a rotation speed lower than, equal to and higher than a based speed of 6000 rpm. This research also presents the experimental results of an 8/6 SRG based on a TMS320F2812 DSP drive system, including the phase voltage, dc-link voltage, phase current, dc-load current waveforms, as well as the output power-speed characteristics. The simulation and experimental results are compared to verify the accuracy of the proposed model.


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

[1] P. J. Lawrenson, J. M. Stephenson, P. T. Blenkinsop, J. Corda, and N. N. Fulton, "Variable-speed switched reluctance motors," IEE Proceedings B Electric Power Applications, vol. 127, no. 4, pp. 253-265, 1980.

[2] Y. Hasegawa, K. Nakamura, and O. Ichinokura, "Optimization of a switched reluctance motor made of permendur," IEEE Trans. Magnetics, vol. 46, no. 6, pp. 1311-1314, Jun. 2010.
[CrossRef] [Web of Science Times Cited 18] [SCOPUS Times Cited 20]


[3] D. W. Choi, S. I. Byun, and Y. H. Cho, "A study on the maximum power control method of switched reluctance generator for wind turbine," IEEE Trans. Magnetics, vol. 50, no. 1, pp. 1-4, Jan. 2014.
[CrossRef] [Web of Science Times Cited 4] [SCOPUS Times Cited 2]


[4] B. Parreira, S. Rafael, A. J. Pires, and P. J. CostaBranco, "Obtaining the magnetic characteristics of an 8/6 switched reluctance machine: from FEM analysis to the experimental tests," IEEE Trans. Industrial Electronics, vol. 52, no. 6, pp. 1635-1643, Dec. 2005.
[CrossRef] [Web of Science Times Cited 54] [SCOPUS Times Cited 84]


[5] J. Faiz, and K. M. Zadeh, "Design of switched reluctance machine for starter/generator of hybrid electric vehicle," Electric Power Systems Research, vol. 75, no. 2-3, pp. 153-160, Aug. 2005.
[CrossRef] [Web of Science Times Cited 23] [SCOPUS Times Cited 33]


[6] E. K. Beser, S. Camur, B. Arifoglu, and E. Beser, "Design and analysis of an axially laminated reluctance motor for variable-speed applications," Advances in Electrical and Computer Engineering, vol. 13, no. 1, pp. 75-80, 2013.
[CrossRef] [Full Text] [Web of Science Times Cited 2] [SCOPUS Times Cited 4]


[7] W. Ding, and D. Liang, "A fast analytical model for an integrated switched reluctance starter/generator," IEEE Trans. Energy Conversion, vol. 25, no. 4, pp. 948-956, Dec. 2010.
[CrossRef] [Web of Science Times Cited 25] [SCOPUS Times Cited 29]


[8] P. Zhang, P. A. Cassani, and S. S. Williamson, "An accurate inductance profile measurement technique for switched reluctance machines," IEEE Trans. Industrial Electronics, vol. 57, no. 9, pp. 2972-2979, Sep. 2010.
[CrossRef] [Web of Science Times Cited 26] [SCOPUS Times Cited 29]


[9] O. Ustun, "Measurement and real-time modeling of inductance and flux linkage in switched reluctance motors," IEEE Trans. Magnetics, vol. 45, no. 12, pp. 5376-5382, Dec. 2009.
[CrossRef] [Web of Science Times Cited 17] [SCOPUS Times Cited 22]


[10] L. Wenzhe, A. Keyhani, and A. Fardoun, "Neural network-based modeling and parameter identification of switched reluctance motors," IEEE Trans. Energy Conversion, vol. 18, no. 2, pp. 284-290, Jun. 2003.
[CrossRef] [Web of Science Times Cited 30] [SCOPUS Times Cited 38]


[11] Z. Lin, D. S. Reay, B. W. Williams, and X. He, "Online modeling for switched reluctance motors using b-spline neural networks," IEEE Trans. Industrial Electronics, vol. 54, no. 6, pp. 3317-3322, Dec. 2007.
[CrossRef] [Web of Science Times Cited 31] [SCOPUS Times Cited 43]


[12] W. Ding, and D. Liang, "Modeling of a 6/4 switched reluctance motor using adaptive neural fuzzy inference system," IEEE Trans. Magnetics, vol. 44, no. 7, pp. 1796-1804, Jul. 2008.
[CrossRef] [Web of Science Times Cited 29] [SCOPUS Times Cited 36]


[13] F. Daldaban, N. Ustkoyuncu, and K. Guney, "Phase inductance estimation for switched reluctance motor using adaptive neuro-fuzzy inference system," Energy Conversion and Management, vol. 47, no. 5, pp. 485-493, Mar. 2006.
[CrossRef] [Web of Science Times Cited 25] [SCOPUS Times Cited 36]


[14] D. Lin, P. Zhou, S. Stanton, and Z. J. Cendes, "An analytical circuit model of switched reluctance motors," IEEE Trans. Magnetics, vol. 45, no. 12, pp. 5368-5375, Dec. 2009.
[CrossRef] [Web of Science Times Cited 17] [SCOPUS Times Cited 20]


[15] S. H. Mao, D. Dorrell, and M. C. Tsai, "Fast analytical determination of aligned and unaligned flux linkage in switched reluctance motors based on a magnetic circuit model," IEEE Trans. Magnetics, vol. 45, no. 7, pp. 2935-2942, Jul. 2009.
[CrossRef] [Web of Science Times Cited 25] [SCOPUS Times Cited 32]


[16] C. Roux and M. M. Morcos, "On the use of a simplified model for switched reluctance motors," IEEE Trans. Energy Conversion, vol. 17, no. 3, pp. 400-405, Sep. 2002.
[CrossRef] [Web of Science Times Cited 33] [SCOPUS Times Cited 43]


[17] P. Kerdtuad and S. Kittiratsatcha, "Study of maximum power conversion of a switched-reluctance generator," in Proc. the 8th Electrical Eng./Electronics, Computer, Tele. and Info. Technology (ECTI) Conference, Khon Kean, Thailand, 2011, pp. 633-636.

[18] W. M. Chan, and W. F. Weldon, "Development of a simple nonlinear switched reluctance motor model using measured flux linkage data and curve fit," in Proc. IEEE Industry Applications Society 32th Annual Meeting, IAS'97, vol.1, New Orleans, LA, 1997, pp. 318-325.
[CrossRef]


[19] S. Song and W. Liu, "A novel method for nonlinear modeling and dynamic simulation of a four-phase switched reluctance generator system based on Matlab/simulink," in Proc. 2nd IEEE Conf. on Indust. Electronics and Applications (ICIEA), Harbin, 2007, pp. 1509-1514.
[CrossRef] [SCOPUS Times Cited 7]


[20] D. A. Torrey, and J. H. Lang, "Modeling a nonlinear variable-reluctance motor drive," IEE Proceedings B Electric Power Applications, vol. 137, no. 5, pp. 314-326, Sep. 1990.

[21] C. L. Xia, M. Xue, and T. N. Shi, "A new rapid nonlinear simulation method for switched reluctance motors," IEEE Trans. Energy Conversion, vol. 24, no. 3, pp. 578-586, Sep. 2009.
[CrossRef] [Web of Science Times Cited 14] [SCOPUS Times Cited 18]


[22] D. W. J. Pulle, "New data base for switched reluctance drive simulation," IEE Proceedings B Electric Power Applications, vol. 138, no. 6, pp. 331-337, Nov. 1991.

[23] X. D. Xue, K. W. E. Cheng, and S. L. Ho, "Simulation of switched reluctance motor drives using two-dimensional bicubic spline," IEEE Trans. Energy Conversion, vol. 17, no. 4, pp. 471-477, Dec. 2002.
[CrossRef] [Web of Science Times Cited 31] [SCOPUS Times Cited 44]


[24] S. Kittiratsatcha, and D. A. Torrey, "A design method of a two-phase switched-reluctance machine," in Proc. The 5th Int. Conf. Power Electronics and Drive Systems (PEDS), 2003, pp. 1599-1604.

[25] S. Khotpanya, S. Kittiratsatcha, and I. Kazuhisa, "A Magnetic model of a three-phase switched reluctance machine using cubic spline interpolation technique," in Proc. Int. Conf. on Power Electronics and Drives Systems (PEDS), Phuket, Thailand, 2005, pp.1167-1170.



References Weight

Web of Science® Citations for all references: 404 TCR
SCOPUS® Citations for all references: 540 TCR

Web of Science® Average Citations per reference: 16 ACR
SCOPUS® Average Citations per reference: 21 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 2017-06-26 18:59 in 135 seconds.




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