Rotor impedance of the high frequency circulating bearing current path in inverter-fed AC machines

Magdun, Oliver; Gemeinder, Yves; Binder, A.

doi:10.1109/ecce.2013.6647163

Cited by 14 publications

(8 citation statements)

References 17 publications

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“…To avoid the damage patterns introduced by the bearing currents mentioned, suitable prevention mechanisms for the drive system, consisting of the inverter, the machine, and the gearbox, must be selected in the design stage. For this purpose, various approaches to predicting bearing currents have been developed, which are mostly limited to an electrical machine [25,31,32]. If only the rolling bearing is considered, the use of hybrid bearings seems to be a suitable countermeasure to solve harmful bearing currents [33].…”

Section: System Modelingmentioning

confidence: 99%

“…First efforts were made with lumped parameter models for the high-frequency behavior prediction of an electrical machine, as given in [35,36], but they are useless for prediction in the design stage because the identification of the parameters in the proposed equivalent circuit is based on measurements. Further, multi-conductor-transmission line models, such as those presented in [30,32,[37][38][39], are widely accepted for modeling high-frequency machine behavior. According to the multi-conductor-transmission line, a conductor i coupled with a conductor j is modeled, as shown in Figure 8, by a self-resistance R ii , a self-inductance L ii , a capacitance C g to ground, a capacitance C k to conductor j, and a resistance R g and resistance R CM representing dielectric losses, which are usually neglected.…”

Section: Electrical Machine Modelmentioning

confidence: 99%

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Electrical Bearing Damage, A Problem in the Nano- and Macro-Range

et al. 2022

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Rolling bearings face different damaging effects: Besides mechanical effects, current-induced bearing damage occurs in electrical drive systems. Therefore, it is of increasing interest to understand the differences leading to known electrical damage patterns. It is of utmost importance not to consider the harmful current passage in the machine element as an isolated phenomenon but to take into account the whole drive system consisting of the machine elements, the electric motor and the connected power electronics. This publication works toward providing an overview of the state-of-the-art of research regarding electrical bearing currents.

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Section: System Modelingmentioning

confidence: 99%

Section: Electrical Machine Modelmentioning

confidence: 99%

Electrical Bearing Damage, A Problem in the Nano- and Macro-Range

et al. 2022

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“…In a study reported in [74] the common mode flux was calculated by 2D axisymmetric FEM and combined with an analytical method. It was demonstrated that the rotor impedance cannot be neglected at high frequency as it is often comparable to the stator impedance.…”

Section: Finite Element Calculation Of 𝒊 𝑪𝑩mentioning

confidence: 99%

A Review of Modeling and Mitigation Techniques for Bearing Currents in Electrical Machines With Variable-Frequency Drives

et al. 2022

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The converter switching in variable-frequency drives can generate high frequency common mode voltage between the machine winding and the converter ground, leading to high frequency parasitic currents which can flow through the machine bearings unless precautions are taken in design and installation. These parasitic and unintended currents in the bearings cause deterioration of the lubrication film and surface damage to the rolling elements of the bearings. These problems will be exacerbated as wide-bandgap semiconductors with faster switching rise times start becoming more widespread in variable-frequency drives. This paper reviews the modelling and mitigation techniques of high frequency bearing currents in inverter fed AC drives. It aims to provide a solid base for the research community to further understanding the bearing currents phenomenon and helping to find novel improved technique for their mitigation and measurement.

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“…fit relative error 1 averaged over all frequencies and currents for different optimization methods. 1 see formula (4), 2 the PSO error is unacceptable. for higher values of currents i ≥ 30 A (see Fig.…”

Section: Langevin Function For Nonlinearity Modellingmentioning

confidence: 99%

Multifrequency nonlinear model of magnetic material with artificial intelligence optimization

Pawłowski

Kutorasiński

Szewczyk

2022

Sci Rep

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Magnetic rings are extensively used in power products where they often operate in high frequency and high current conditions, such as for mitigation of excessive voltages in high-power switchgear equipment. We provide a general model of a magnetic ring that reproduces both frequency and current dependencies with the use of artificial intelligence (AI) optimization methods. The model has a form of a lumped element equivalent circuit that is suitable for power system transient studies. A previously published conventional (non-AI) model, which we take as a starting point, gives a good fit of parameters but uneven characteristics as a function of current, which pose numerical instabilities in transient simulations. We first enforce the Langevin function relationship to obtain smooth characteristics of parameters, which reduces the number of parameters and ensures their even characteristics, however, compromises fit quality. We then use AI metaheuristic optimization methods that give a perfect fit for the model in the whole range of frequency up to 100 MHz and current up to saturation, with smooth characteristics of its parameters. Additionally, for such fitted parameters, we show that it is feasible to find a frequency dependence for the magnetic saturation parameter of the Jiles-Atherton (JA) model, thus enabling frequency-dependent JA.

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Rotor impedance of the high frequency circulating bearing current path in inverter-fed AC machines

Cited by 14 publications

References 17 publications

Electrical Bearing Damage, A Problem in the Nano- and Macro-Range

Electrical Bearing Damage, A Problem in the Nano- and Macro-Range

A Review of Modeling and Mitigation Techniques for Bearing Currents in Electrical Machines With Variable-Frequency Drives

Multifrequency nonlinear model of magnetic material with artificial intelligence optimization

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