2017
DOI: 10.1109/tie.2016.2645509
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No-Load Magnetic Field and Cogging Force Calculation in Linear Permanent-Magnet Synchronous Machines With Semiclosed Slots

Abstract: Abstract-This paper presents an improved analytical subdomain model for predicting the magnetic field in linear permanent magnet synchronous machines (LPMSMs) with semi-closed slots accounting for the finite length of primary iron core and secondary back-iron. The whole field domain is divided into eight subdomains and the magnetic field in each subdomain is solved by applying the variable separation method, adequate boundary conditions and interface conditions. In this model, both the slot and end effects are… Show more

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Cited by 41 publications
(8 citation statements)
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“…For example, Gaussens et al [43] proposed a general and accurate approach to determine the no-load flux of field-excited flux-switching machines. Hu et al [161] presented an improved analytical subdomain model for predicting the no-load magnetic field and cogging force.…”
Section: Load Effectsmentioning
confidence: 99%
“…For example, Gaussens et al [43] proposed a general and accurate approach to determine the no-load flux of field-excited flux-switching machines. Hu et al [161] presented an improved analytical subdomain model for predicting the no-load magnetic field and cogging force.…”
Section: Load Effectsmentioning
confidence: 99%
“…It is coherent with the historical use of Maxwell Tensor by electrical machine designers to accurately compute torque. Moreover, [46] shows that approximation can be good enough to successfully predict the experimental thrust force using a MT local magnetic pressure with semi-analytical methods.…”
Section: B Discussionmentioning
confidence: 99%
“…)(Zhang et al , 2019; Mirzahosseini et al , 2018), Schwarz–Christoffel mapping (conformal transformation, complex presence model, etc.) (Rezaee-Alam et al , 2017) and Maxwell–Fourier model (consists of a non-linear system of N equations solved analytically or numerically) (Hu et al , 2017; Mortezaeei et al , 2019).…”
Section: Introductionmentioning
confidence: 99%