2010
DOI: 10.1049/iet-epa.2009.0209
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Design development of permanent magnet excitation transverse flux linear motor with inner mover type

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Cited by 21 publications
(10 citation statements)
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“…The dimensions of the scaled-down model are listed in Table 1. By inspection of these static characteristics, it can be noted that the results of the FEA model are more accurate and close to experimental results [4]. Furthermore, the dynamic response of the FEA model has been also verified by experimental results, where a complete speed control scheme has been done on Downloaded by [ …”
Section: Three-dimensional Analysis and Measurement Methodssupporting
confidence: 59%
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“…The dimensions of the scaled-down model are listed in Table 1. By inspection of these static characteristics, it can be noted that the results of the FEA model are more accurate and close to experimental results [4]. Furthermore, the dynamic response of the FEA model has been also verified by experimental results, where a complete speed control scheme has been done on Downloaded by [ …”
Section: Three-dimensional Analysis and Measurement Methodssupporting
confidence: 59%
“…The finite element (FE) method is an efficient method for numerical calculation of electromagnetic field distribution. In [4], the FE package based on ANSYS software was used for three-dimensional magnetic field analysis of the TFLM. The results of the FEA model have been verified by experimental results with a scaled-down model of the TFLM.…”
Section: Three-dimensional Analysis and Measurement Methodsmentioning
confidence: 99%
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“…In the past decade, transverse-flux permanent-magnet linear machine (TFPMLM) has been widely employed in the applications of electrical power generation [1][2][3][4][5], magnetic levitation [6,7], electromagnetic launcher [8,9], etc. [10].…”
Section: Introductionmentioning
confidence: 99%
“…[10]. Many scholars have been dedicated to the analysis, design and optimization of TFPMLM using the approaches of equivalent magnetic circuit network (EMCN) [11,12], finite element method (FEA) [1,2], modern intelligent algorithms [10,13].…”
Section: Introductionmentioning
confidence: 99%