Magnet Defect and Rotor Eccentricity Modeling in Axial-Flux Permanent-Magnet Machines via 3-D Field Reconstruction Method

Ajily, Ehsan; Ardebili, Mohammad; Abbaszadeh, Karim

doi:10.1109/tec.2015.2506819

Cited by 64 publications

(27 citation statements)

References 24 publications

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“…To alleviate these drawbacks, several solutions have been proposed in the technical literature, such the use of coupled finite elements and circuit equations [ 44 ], improved conformal mappings [ 45 ], or field reconstruction methods (FRM), based on linear superposition of FEA solutions [ 46 ]. An alternative approach to FEA models are fast and simpler analytical models of the induction machine [ 47 ], such as the magnetic equivalent circuit (MEC) model [ 36 , 48 ], which represents the induction machine as a mesh of reluctance elements, or the permeance network model (PNM) [ 49 ].…”

Section: Introductionmentioning

confidence: 99%

Partial Inductance Model of Induction Machines for Fault Diagnosis

Pineda-Sánchez

Puche-Panadero

Martínez-Román

et al. 2018

Sensors

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The development of advanced fault diagnostic systems for induction machines through the stator current requires accurate and fast models that can simulate the machine under faulty conditions, both in steady-state and in transient regime. These models are far more complex than the models used for healthy machines, because one of the effect of the faults is to change the winding configurations (broken bar faults, rotor asymmetries, and inter-turn short circuits) or the magnetic circuit (eccentricity and bearing faults). This produces a change of the self and mutual phase inductances, which induces in the stator currents the characteristic fault harmonics used to detect and to quantify the fault. The development of a machine model that can reflect these changes is a challenging task, which is addressed in this work with a novel approach, based on the concept of partial inductances. Instead of developing the machine model based on the phases’ coils, it is developed using the partial inductance of a single conductor, obtained through the magnetic vector potential, and combining the partial inductances of all the conductors with a fast Fourier transform for obtaining the phases’ inductances. The proposed method is validated using a commercial induction motor with forced broken bars.

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Section: Introductionmentioning

confidence: 99%

Partial Inductance Model of Induction Machines for Fault Diagnosis

Pineda-Sánchez

Puche-Panadero

Martínez-Román

et al. 2018

Sensors

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show abstract

“…Each magnetic flux distribution is reconstructed by the basis-function sweeping the reference magnetic flux distribution. By using the basis-function, it is possible to calculate the air-gap magnetic flux distribution at the combination of any armature current or mover position without an additional FE analysis [7], [8]. Therefore, the FRM can reduce the computational burden of the FE analysis.…”

Section: Introductionmentioning

confidence: 99%

“…The previous research work on the FRM has focused on the applications, such as axial flux PM motors [6]- [8], switched reluctance machines [9], PM synchronous machines [10]- [13], and induction machines [14]- [15]. Park et al [6] and Ajily et al [7] presented the performance of axial flux PM motors using the 3-D FRM. Lin et al [9] proposed a way to apply the FRM to a switched reluctance machine to consider the doublesaliency and magnetic saturation.…”

Section: Introductionmentioning

confidence: 99%

Field Reconstruction Method for Linear Tubular Permanent Magnet Motor

Kim

Woo

2020

IEEE Access

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This paper considers a linear tubular permanent magnet motor (LTPMM) for an active suspension system. The LTPMM has an end effect due to its structure. This can be an important factor for analysis and design of the LTPMM because it distorts the air-gap magnetic flux distribution. The field reconstruction method (FRM) was developed for an effective evaluation of the magnetic field in the electric machine. It can reduce the computation time using the basis-function which reconstructs the air-gap magnetic flux distribution with a static finite element analysis. In this paper, we adopted the FRM to evaluate the LTPMM. However, the FRM has been applied only to the rotating machines and does not take into account the distortion of the magnetic flux distribution in the LTPMM. To deal with this problem, we proposed an enhanced FRM with new basis-function. The proposed method is verified by comparing between experiment result, conventional and enhanced FRM. INDEX TERMS Active suspension system, linear active suspension, linear permanent magnet motor, field reconstruction method.

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“…Various techniques could be used for modeling AFPMMs under fault conditions, e.g., analytical models, magnetic equivalent circuit (MEC) [15], FE analysis [16] or a combination of these methods [17]. The 3D-FE model can model precisely the influence of eccentricity owing to the accurate computation of air gap region, but it is time consuming because large matrixes need to be solved.…”

Section: Introductionmentioning

confidence: 99%

Analytical modeling of axial flux PM machines with eccentricities

Huang

Guo

et al. 2017

JAE

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Abstract:In this paper, an analytical quasi three-dimensional method is used to model an axial flux permanent magnet (AFPM) machine with various eccentricities. AFPM machines (AFPMMs) have various advantages but they are sensitive to geometrical imperfections for manufacturing aspect. The main aim of this paper is to propose a general analytical model to analyze the AFPMMs with various types of eccentricities. The radial and tangential magnetic flux densities in the air gap under healthy condition are obtained via combination of Maxwell's equations and Schwarz-Christoffel (SC) mapping firstly. Next, in order to investigate the eccentricities, equations for air gap length and radii are deduced. The back electromotive force (EMF) is calculated and compared with those from healthy condition and finite element (FE) analysis, respectively. The results show that the analytical predictions agree well with the FE results. Moreover, using this method has a significantly less time consuming than the 3D FM simulation process, which is a great advantage of this method. Finally, the analytical model is verified via experimental results.

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Magnet Defect and Rotor Eccentricity Modeling in Axial-Flux Permanent-Magnet Machines via 3-D Field Reconstruction Method

Cited by 64 publications

References 24 publications

Partial Inductance Model of Induction Machines for Fault Diagnosis

Partial Inductance Model of Induction Machines for Fault Diagnosis

Field Reconstruction Method for Linear Tubular Permanent Magnet Motor

Analytical modeling of axial flux PM machines with eccentricities

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