IAS '96. Conference Record of the 1996 IEEE Industry Applications Conference Thirty-First IAS Annual Meeting

DOI: 10.1109/ias.1996.560169

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Flux density models for the switched reluctance machine

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,

Muthana T. Alrifai²,

et al.

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Cited by 3 publications

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“…The flux waveform in the stator pole i can be obtained by the superposition of all the flux waveforms flowing through the stator pole i :

ϕ_{sp, i} false(θ false) = K_{i} \sum_{j = 1}^{N_{normalr}} ϕ_{i, j} (θ) = K_{i} \sum_{j = 1}^{N_{normalr}} ϕ_{1, 1} (θ + false(j - 1 - false(i - 1 false) \frac{N_{normalr}}{N_{normals}}) 360 °)

Similarly, the flux waveform in the rotor pole j is

ϕ_{ip, j} false(θ false) = \sum_{i = 1}^{N_{normals}} K_{i} ϕ_{normalsp, i, j} (θ) = \sum_{i = 1}^{N_{normals}} K_{i} ϕ_{1, 1} (θ + false(j - 1 - false(i - 1 false) \frac{N_{normalr}}{N_{normals}}) 360 °)

For modelling the flux in the stator and rotor yokes, the method in [9] is adopted in this paper. Once the flux ϕ in all sections is found, the flux density in each section can be obtained by dividing the flux by its cross‐sectional area through which it flows:

B = \frac{ϕ}{A}

…”

Section: Iron Loss Modelmentioning

confidence: 99%

Fast iron loss prediction method in the pre‐design stage of SRMs

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,

²

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2019

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“…The flux waveform in the stator pole i can be obtained by the superposition of all the flux waveforms flowing through the stator pole i :

ϕ_{sp, i} false(θ false) = K_{i} \sum_{j = 1}^{N_{normalr}} ϕ_{i, j} (θ) = K_{i} \sum_{j = 1}^{N_{normalr}} ϕ_{1, 1} (θ + false(j - 1 - false(i - 1 false) \frac{N_{normalr}}{N_{normals}}) 360 °)

Similarly, the flux waveform in the rotor pole j is

ϕ_{ip, j} false(θ false) = \sum_{i = 1}^{N_{normals}} K_{i} ϕ_{normalsp, i, j} (θ) = \sum_{i = 1}^{N_{normals}} K_{i} ϕ_{1, 1} (θ + false(j - 1 - false(i - 1 false) \frac{N_{normalr}}{N_{normals}}) 360 °)

For modelling the flux in the stator and rotor yokes, the method in [9] is adopted in this paper. Once the flux ϕ in all sections is found, the flux density in each section can be obtained by dividing the flux by its cross‐sectional area through which it flows:

B = \frac{ϕ}{A}

…”

Section: Iron Loss Modelmentioning

confidence: 99%

Fast iron loss prediction method in the pre‐design stage of SRMs

¹

,

²

,

³

2019

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No abstract

Dynamic simulation model for two-phase mutually coupled reluctance machines

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,

Conference Record of the 2001 IEEE Industry Applications Conference. 36th IAS Annual Meeting (Cat. No.01CH37248)

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Iron Losses Calculation in Non-Harmonic Power Supply

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²

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et al. 2020

2020 19th International Conference on Mechatronics - Mechatronika (ME)

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No abstract

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