Modeling and parameter identification of multiphase permanent magnet synchronous motors including saturation effects

Jonsky, Torben; Stichweh, Heiko; Theseling, Matthias; Wettlaufer, Jan; Quattrone, Francesco

doi:10.1109/epe.2015.7309142

Cited by 7 publications

(8 citation statements)

References 6 publications

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“…To prove the accuracy of the results obtained using the selected mesh size, the mesh in the air-gap and the iron parts of the machine was refined, increasing the number of nodes to 190,000. This modification resulted in an increase in accuracy of no more than 0.2% in terms of per-phase flux linkages, thus proving that the selected mesh density guarantees satisfying accuracy (see (19)) (see (20))…”

Section: Fe Model Of the 6pimmentioning

confidence: 79%

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Saturated VSD model of a six‐phase induction machine

Brkovic

Jecmenica

Levi

et al. 2020

IET Electric Power Applications

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In this study, a saturated model of an asymmetrical six-phase induction machine is presented. The model is based on the vector space decomposition approach, and it includes main and leakage flux saturation, as well as the mutual coupling between orthogonal planes while using the Gamma equivalent circuit approach. The accuracy of the proposed model in unbalanced operating modes that are characteristic for multiphase machines, such as post-fault and power-sharing operation, makes it advantageous compared to existing models. The model is developed assuming that the machine operates in asymmetrical conditions and that, therefore, there is fundamental frequency excitation in both planes. The inter-plane coupling effect is examined using finite element analysis and an experimental procedure for its quantification is developed. The model is verified by comparison with the experimental results obtained from a prototype asymmetrical six-phase induction machine, and its advantages compared to existing models are emphasised.

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Section: Fe Model Of the 6pimmentioning

confidence: 79%

“…The dq subspace leakage inductance is given as a two-segment non-linear function of the stator current in (19). As noted, expressing the leakage inductance solely as the function of stator current is suggested in [33].…”

Section: Non-linear Model Parametersmentioning

confidence: 99%

Saturated VSD model of a six‐phase induction machine

Brkovic

Jecmenica

Levi

et al. 2020

IET Electric Power Applications

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“…The problem of the parameter identification of the PMSM is quite widely described in the scientific literature, for example [23][24][25][26][27]. In most cases, numerical estimation models such as ARX (autoregressive extra input), ARMA (autoregressive moving average), OE (output error) and others based on experimental data in the time domain are used to estimate parameters of the SPMSM.…”

Section: Introductionmentioning

confidence: 99%

“…Experimental parameter identification of the PMSM is complicated by the influence of distortions such as torque ripples, back electromotive force (back emf) and cross-coupling of currents in the dq coordinate model. There are effective techniques of parameter identification that take into account the influence of back emf and the cross-coupling of currents [23,25,28]. Modified numerical estimation algorithms are proposed in [26,29].…”

Section: Introductionmentioning

confidence: 99%

Modified Technique of Parameter Identification of a Permanent Magnet Synchronous Motor with PWM Inverter in the Presence of Dead-Time Effect and Measurement Noise

et al. 2019

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The paper considers the problem of parameter identification of the surface mounted permanent magnet synchronous motor (SPMSM) with pulse width modulated (PWM) inverter in the presence of dead time of power switches and other nonlinear distortions. Parameter identification of the SPMSM is required for the tuning of the torque control loop, because in some cases, the exact values of phase resistances and inductances are not known. In the absence of nonlinear disturbances, the problem of SPMSM parameters estimation is not difficult. The influence of the dead-time effect, back electromotive force and measurements noise introduces distortions in experimental output data sets, which leads to incorrect parameter estimation. Thus, there is a need to develop new designs of identification experiments and methods of processing of the experimental data. A detailed mathematical model of SPMSM with a PWM inverter in the presence of dead-time effect is considered in the paper. The negative influence of the dead-time effect on the results of parameter estimation is shown. A modified technique of parameter identification of SPMSM based on the estimation of frequency response function is proposed. The applied design of identification experiments, the type of excitation input signal, and methods of data processing allow us to minimize the influence of nonlinear disturbances and to reduce the variance of estimation of frequency response function. These features provide a high performance of SPMSM parameters estimation.

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“…The motor concept is described in [4]. The modeling and parameter identification of this drive is described in [5]. …”

Section: Introductionmentioning

confidence: 99%

Third harmonic current injection into highly saturated multi-phase machines

Klute¹,

Jonsky²

2017

Archives of Electrical Engineering

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Abstract:One advantage of multi-phase machines is the possibility to use the third harmonic of the rotor flux for additional torque generation. This effect can be maximised for Permanent Magnet Synchronous Machines (PMSM) with a high third harmonic content in the magnet flux. This paper discusses the effects of third harmonic current injection (THCI) on a five-phase PMSM with a conventional magnet shape depending on saturation. The effects of THCI in five-phase machines are shown in a 2D FEM model in Ansys Maxwell verified by measurement results. The results of the FEM model are analytically analysed using the Park model. It is shown in simulation and measurement that the torque improvement by THCI increases significantly with the saturation level, as the amplitude of the third harmonic flux linkage increases with the saturation level but the phase shift of the rotor flux linkage has to be considered. This paper gives a detailed analysis of saturation mechanisms of PMSM, which can be used for optimizing the efficiency in operating points of high saturations, without using special magnet shapes.

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Modeling and parameter identification of multiphase permanent magnet synchronous motors including saturation effects

Cited by 7 publications

References 6 publications

Saturated VSD model of a six‐phase induction machine

Saturated VSD model of a six‐phase induction machine

Modified Technique of Parameter Identification of a Permanent Magnet Synchronous Motor with PWM Inverter in the Presence of Dead-Time Effect and Measurement Noise

Third harmonic current injection into highly saturated multi-phase machines

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