A transient induction motor model including saturation and deep bar effect

Smith, Alexander C.; Healey, Richard; Williamson, S.

doi:10.1109/60.486570

Cited by 74 publications

(29 citation statements)

References 10 publications

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“…In general, it could occur that leakage inductance values vary significantly depending on the operating point (stator and rotor currents mainly) of the machine [13][14]. In order to avoid accuracy problems in the estimators, this variation can also be considered at the control stage with the same philosophy as with the magnetizing inductance.…”

Section: Leakage Inductances Estimationmentioning

confidence: 99%

“…The rotor flux orientation relies upon the accurate knowledge of some key machine parameters such as the magnetizing inductance, the stator and rotor leakage inductances and the rotor resistance. The magnetizing inductance, and to a less extend, the rotor leakage [13][14], are affected by saturation. The rotor resistance is primarily affected by temperature variations, but it could also vary with the slip frequency [15].…”

Section: Introductionmentioning

confidence: 99%

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Rotor flux oriented control of induction machine based drives with compensation for the variation of all machine parameters

Extremiana

Abad²,

Arza

et al. 2013

Bulletin of the Polish Academy of Sciences: Technical Sciences

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Abstract. The performance of rotor flux oriented induction motor drives, widely used these days, relies on the accurate knowledge of key machine parameters. In most industrial drives, the rotor resistance, subject to temperature variations, is estimated on-line due to its significant influence on the control behaviour. However, the rest of the model parameters are also subject to slow variations, determined mainly by the operating point of the machine, compromising the dynamic performance and the accuracy of the torque estimation.This paper presents an improved rotor-resistance on-line estimation algorithm that contemplates the iron losses of the electrical machine, the iron saturation curve and the mechanical losses. In addition, the control also compensates the rest of the key machine parameters such as the leakage and magnetizing inductances and the iron losses. These parameters are measured by an off-line estimation procedure and stored in look up-tables used by the control. The paper begins by presenting the machine model and the proposed rotor flux oriented control strategy. Subsequently, the off-line parameter measurement procedure is described. Finally, the algorithm is extensively evaluated and validated experimentally on a 15 kW test bench.

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Section: Leakage Inductances Estimationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Rotor flux oriented control of induction machine based drives with compensation for the variation of all machine parameters

Extremiana

Abad²,

Arza

et al. 2013

Bulletin of the Polish Academy of Sciences: Technical Sciences

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show abstract

“…-Integer order models [10], [11]: They are based on the fundamental model of the induction machine with the rotor conductors represented by RL cells representing the massive conductor [2], [12].…”

Section: Frequential Modelling Of the Induction Machinementioning

confidence: 99%

Influence of the frequential identification tests on the induction machine modelling

Belhaj

Guérin

Zaïm

et al. 2009

Eur. Phys. J. Appl. Phys.

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An electric network is constituted by generators providing power to various loads. The induction machine is the most common motor in the industrial applications because of its simplicity of construction, its reliability and its low cost. It allows the constant speed applications when it is directly supplied by the network and variable speed ones with the use of power converters. These speed drives induce important harmonic perturbations in the power system and in the motor side. In this context, we are interested by the frequential modelling of the induction machine in order to simulate the line current with its harmonic components. In order to use the induction machine models, it is necessary to identify their parameters and therefore realizing specific and sufficiently informative tests. Several tests of identification are presented in the literature; their differences and their relevance have not been discussed. This study deals with the realization and the comparison of several types of frequential tests (constant voltage, constant V/f, injection of DC current) for induction machine models identification. The comparison of the simulation results with the experimental measurements allows electing the most representative of the induction machine behaviour.

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“…Several research works have been carried out in order to estimate this electromagnetic phenomenon, using various analytical and numerical methods [2][3][4][5][6][7][8], which is treated in the case of steady state of IM. This article proposes a non-steady-state analysis of the series IM squirrel cage, with the same power and different forms of rotor bars, taking into account the nonuniform displacement of the currents in those bars (skin effect phenomenon) and their geometrical deformations, in order to observe the behaviour of the latter with respect to the rotor parameters and the transient performances of these motors when they operate such as in direct on-line start.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Modelling of Induction Motor Squirrel Cage for Different Shapes of Rotor Deep Bars With Estimation of the Skin Effect

Aouzellag¹

2017

PIER M

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Abstract-This paper presents a dynamic modelling of a series of induction motors (IM) squirrel cage with different shapes of rotor deep bars taking into account the skin effect. The approach is divided into two parts. The first part consists in modelling the skin effect in a rectangular rotor deep-bar with three methods (conventional analytical method, finite element method and analysis method of circuit). These are compared (estimate of the relative error), and subsequently, generalized to more complex forms (trapezoidal, inverted, direct trapezoidal and double cage), done by using the two last methods which take into account the geometrical non-linearity of the slots. The second part consists in a dynamic modelling with variable parameters that take into account the skin effect, simulated for a series of motors with the same power (with different geometric shapes of rotor bars), to see their influence on the starting characteristics of these IM, and the results are compared and discussed.

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A transient induction motor model including saturation and deep bar effect

Cited by 74 publications

References 10 publications

Rotor flux oriented control of induction machine based drives with compensation for the variation of all machine parameters

Rotor flux oriented control of induction machine based drives with compensation for the variation of all machine parameters

Influence of the frequential identification tests on the induction machine modelling

Dynamic Modelling of Induction Motor Squirrel Cage for Different Shapes of Rotor Deep Bars With Estimation of the Skin Effect

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