2018
DOI: 10.1515/jee-2018-0005
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Exact analytical modeling of magnetic vector potential in surface inset permanent magnet DC machines considering magnet segmentation

Abstract: Surface inset permanent magnet DC machine can be used as an alternative in automation systems due to their high efficiency and robustness. Magnet segmentation is a common technique in order to mitigate pulsating torque components in permanent magnet machines. An accurate computation of air-gap magnetic field distribution is necessary in order to calculate machine performance. An exact analytical method for magnetic vector potential calculation in surface inset permanent magnet machines considering magnet segme… Show more

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Cited by 10 publications
(10 citation statements)
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“…The Dubas's superposition technique could have been used to develop a new model with the consideration of the saturation effect. In References [38][39][40][41], an analytical model has been introduced to compute electric machine performance by using the subdomain method. However, no analytical expression was found at present to calculate the optimal magnet pole shape in surface-mounted permanent magnet machines in order to minimize the pulsating torque components.…”
Section: Subdomain Definitionmentioning
confidence: 99%
“…The Dubas's superposition technique could have been used to develop a new model with the consideration of the saturation effect. In References [38][39][40][41], an analytical model has been introduced to compute electric machine performance by using the subdomain method. However, no analytical expression was found at present to calculate the optimal magnet pole shape in surface-mounted permanent magnet machines in order to minimize the pulsating torque components.…”
Section: Subdomain Definitionmentioning
confidence: 99%
“…In the SDA, the geometry of electrical machine is divided into defined domains taking into account its application and existing symmetries [4]. Maxwell equations, here Laplacian and Poisson equations, are written for every region, and finally based on the imposed boundary conditions on the regions, such as continuity of magnetic potential and magnetic field intensity tangential component, the required system of equations for magnetic field is formed and then solved [5,6]. Generally, variables separation technique (VST) has a very significant role; however, in some electromagnetic problems it is necessary to establish the equations for solving Laplacian and Poisson equations [7].…”
Section: Introductionmentioning
confidence: 99%
“…Generally, variables separation technique (VST) has a very significant role; however, in some electromagnetic problems it is necessary to establish the equations for solving Laplacian and Poisson equations [7]. Some have reported the application of SDA for different electrical machines such as surface-inset PM [6][7][8], surface-mounted PM [9], interior PM [10,11], PMSM with shielding cylinder [12] spoke type PM [2], doubly-salient machine [13], switched reluctance machine [14,15], Vernier machine [5,16], flux switching machine [17], superconductor [18], and electric machine with toroidal winding [19]. Normally, the results have been compared with FEM results and in some cases tests results.…”
Section: Introductionmentioning
confidence: 99%
“…But that usually requires a long computing time. Accurate mathematical models of these electrical machines are often necessary for their design, analysis and optimization (Jabbari, 2018a, 2018b, 2018c). The numerical method and analytical method are widely used in the motor design.…”
Section: Introductionmentioning
confidence: 99%
“…Boughrara et al (2014) introduced a 2D analytical prediction of eddy currents, circuit model parameters and steady-state performances in solid rotor induction motors. Some subdomain-based analytical models (Dubas and Espanet, 2009; Lubin et al , 2011; Boughrara et al , 2012; Jabbari, 2017, 2018, 2019) presented to investigate magnetic field distribution. Oner et al (2016) presented an analytical on-load subdomain field model of permanent-magnet vernier machines.…”
Section: Introductionmentioning
confidence: 99%