Improved Mathematical Model and Modeling of Permanent Magnet Synchronous Motors Considering Saturation, Spatial Harmonics, Iron Loss and Deadtime Effect

Zuo, Shuguang; Huang, Zhiyong; Wu, Zhipeng; Liu, Chang

doi:10.1007/s13369-022-07507-9

Cited by 4 publications

(2 citation statements)

References 30 publications

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“…Equivalent circuit modeling is another method to improve computational efficiency, comprising numerical and analytical approaches. Numerical methods include those used by [12], [20]- [22]. They numerically solve simple motor RL series equivalent circuits to obtain current waveforms and then calculate the harmonics.…”

Section: Field Modelmentioning

confidence: 99%

See 1 more Smart Citation

Frequency-Domain Analytical Prediction of PWM-Induced Current Harmonics in Slotless Surface-Mounted PM Synchronous Machines

Zhang,

Haran,

Krein

et al. 2024

IEEE Trans. Energy Convers.

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Slotless surface-mounted permanent magnet synchronous machines with high pole numbers generally have relatively low inductance, which will lead to significant current harmonics under PWM-driven inverters. Current harmonics can cause additional losses and torque ripples, severely impacting temperature rises and mechanical vibrations. Accurate prediction of current harmonics is crucial for machine performance calculation and drive system design. This paper proposes a frequencydomain analytical method to predict the current harmonics with high fidelity equivalent circuit models. The harmonic prediction method is validated experimentally under a wide range of operating conditions and improves the prediction accuracy by up to 75% compared to the existing analytical modeling methods. The prediction error using the proposed method is generally maintained below 10%, making it an effective tool for practical applications.

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Section: Field Modelmentioning

confidence: 99%

“…The advantage of this method is its simplicity and fast solving speed, but it does not consider motor saturation effects and additional losses, leading to large prediction errors. In [22], flux-linkage lookup tables with saturation information were used to replace the constant L parameter to improve accuracy.…”

Section: Field Modelmentioning

confidence: 99%