Computation of the core loss in an induction motor using the vector Preisach hysteresis model incorporated in finite element analysis

Saitz, J.

doi:10.1109/20.877560

Cited by 37 publications

(16 citation statements)

References 14 publications

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“…The method presented in their paper has produced losses that are 15% less than the measured losses for open rotor slots. Julius Saitz [13] presented the application of the vector Preisach model incorporated in 2D finite element analysis for the magnetic field computation and estimation of the iron loss of an induction motor. The maximum relative error between the computed and measured iron losses is 12%.…”

Section: Introductionmentioning

confidence: 99%

Determination of iron loss considering spatial harmonics and tooth pulsation effects for cage motor

Jaiswal¹,

Deshmukh²

2014

2014 International Conference on Renewable Energy Research and Application (ICRERA)

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The contribution of spatial harmonics and tooth pulsation in iron loss of three phase squirrel cage induction motor has been calculated using lumped circuit approach. An equivalent circuit of the three phase induction motor considering stator magnetomotive harmonics has been used for the calculation of the same. An empirical formula has been developed and validated for determination of tooth pulsation loss. The usage of lumped parameter circuit considering magnetomotive force harmonics for predicting the iron loss components has not appeared in the literature. Here iron loss due to fundamental, spatial harmonics components and tooth pulsation for various motors with different designs and polarities have been determined and compared with experimental results. It is found that the iron losses due to the stator magnetomotive harmonics is in same range as that due to fundamental component, the tooth pulsation loss is in the range of 25% to 35% for 2 pole, and 20% to 30% of total iron loss for 4 pole induction motors. The percentage error between computed and average experimental results for total iron loss are within acceptable limits (±5%) without taking too much of computation time compared to the numerical methods.

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Section: Introductionmentioning

confidence: 99%

Determination of iron loss considering spatial harmonics and tooth pulsation effects for cage motor

Jaiswal¹,

Deshmukh²

2014

2014 International Conference on Renewable Energy Research and Application (ICRERA)

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“…In recent years, however, the inclusion of hysteresis in the FE equations has attracted strong interest in various topics. The main goals for modeling hysteresis are centered on the accurate prediction of iron losses dissipated in electrical devices during operation and on the design and analysis of hysteresis motors [1]- [7]. The accurate modeling of hysteresis loops is an important objective in magnetic storage and recording systems [8].…”

Section: Introductionmentioning

confidence: 99%

Efficient Algorithms for the Inclusion of the Preisach Hysteresis Model in Nonlinear Finite-Element Methods

Dlala

2011

IEEE Trans. Magn.

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This paper deals with key problems that have been commonly encountered in the implementation of the Preisach model into finite-element (FE) programs. Such problems include the inverse problem imposed by certain FE formulations, the abundance use of experimental data needed for identification, and the complex hysteretic nonlinearity inherited in electromagnetic problems. The aim is to alleviate these problems using new efficient algorithms to facilitate the inclusion of the Preisach model in FE equations. The inversion of the model is evaded by systematically creating an inverted Everett function identified from a few parameters usually provided by the makers of electrical steel. The Everett function and its derivatives are ensured to be smooth and continuous by using cubic spline interpolation, which is important for producing stable iterative solutions in the FE computations. Thorough investigations and FE simulations supported by experiments show that the proposed algorithms are capable of successfully accomplishing good accuracy, fast computation, and numerical convergence.Index Terms-Convergence, Everett function, finite-element analysis (FEA), fixed-point method, inverse problems, magnetic hysteresis, Preisach model, software simulation tools.

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“…However, this idea is still too ambitious for the state of the art in magnetization modeling [1]. Preisach models, which are aimed at improving the representation of magnetic phenomena are rapidly being put into practice [2], [3], but they are still at an early stage. A more widely used approach to represent iron losses in a lamination is to use some form of averaging over time and volume [4].…”

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confidence: 99%

Estimating rotational iron losses in an induction machine

2003

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Abstract-We present an assessment of the effect of rotational losses on an induction machine. The assessment provides an estimate of the iron losses in an induction machine by three methods, all of which rely on the output data of a two-dimensional finite-element method: 1) calculating iron losses as if they were produced by a purely alternating field; 2) calculating the iron losses by adding the losses produced by the orthogonal components of the flux density, as if the losses produced by these components were independent phenomena; 3) applying a correction factor based on experimental data to improve the rotational loss calculation. The correction factor is a function of the peak flux density value and the ratio of the major to the minor axis of the flux density loci. The third method represents the main contribution of this paper to the field and is explained in detail. Finally, a discussion of the results addresses two aspects: the location where rotational fields occur, and their impact on the total loss calculation.

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Computation of the core loss in an induction motor using the vector Preisach hysteresis model incorporated in finite element analysis

Cited by 37 publications

References 14 publications

Determination of iron loss considering spatial harmonics and tooth pulsation effects for cage motor

Determination of iron loss considering spatial harmonics and tooth pulsation effects for cage motor

Efficient Algorithms for the Inclusion of the Preisach Hysteresis Model in Nonlinear Finite-Element Methods

Estimating rotational iron losses in an induction machine

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