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Modeling of a Switched Reluctance Generator Using Cubic Spline Coefficients on the Phase Flux Linkage, Inductance and Torque EquationsKERDTUAD, P. , KITTIRATSATCHA, S.
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switched reluctance generator, cubic spline coefficients, flux linkage, phase inductance, electromagnetic torque
reluctance(25), switched(23), power(8), motors(8), motor(7), electronics(7), conversion(7), modeling(6), model(6), magnetics(6)
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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
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.
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 Peak Points Detection Using Spline Interpolation Based on FPGA Implementation, COLAK, A. M., MANABE, T., KAMASAKA, R., SHIBATA, Y., KUROKAWA, F., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 4, Volume 19, 2019.
Digital Object Identifier: 10.4316/AECE.2019.04001 [CrossRef] [Full text]
 FEM analysis and design of an electromechanical converter with dual stator windings and flexible wave rotor, Ungureanu, Constantin, Irimia, Daniela, Bobric, Elena Crenguta, 2016 International Conference on Development and Application Systems (DAS), ISBN 978-1-5090-1993-9, 2016.
Digital Object Identifier: 10.1109/DAAS.2016.7492546 [CrossRef]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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