2022 International Conference on Electrical Machines (ICEM) 2022
DOI: 10.1109/icem51905.2022.9910812
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Improved High-Fidelity IPMSM mathematical model Including Saturation, Cross-Coupling, Torque Ripple and Iron Loss effects

Abstract: For enhanced control algorithm design purposes, accurate and high-fidelity electrical machine mathematical models are fundamentals. Usually, accurate evaluation of electrical machine behaviour requires finite element analysis (FEA) with consequent high-computational times. This paper presents an improved high-fidelity Interior Permanent Magnet Synchronous Machine (IPMSM) mathematical model including saturation, cross-coupling, torque ripple and iron loss effects. This model has been implemented in Matlab ® /Si… Show more

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Cited by 5 publications
(2 citation statements)
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“…Paper [26] presents the inductance variation as a function of the temperature. An improved high-fidelity IPMSM mathematical model, verified by the finite element model, including saturation, cross-coupling and torque ripple, is introduced in [33]. A generalized machine model in RRF, which takes into account multiple saliencies, and a technique to obtain the position-dependent inductances, are proposed in [34].…”
Section: Mathematical Model Of Ipmsmmentioning
confidence: 99%
See 1 more Smart Citation
“…Paper [26] presents the inductance variation as a function of the temperature. An improved high-fidelity IPMSM mathematical model, verified by the finite element model, including saturation, cross-coupling and torque ripple, is introduced in [33]. A generalized machine model in RRF, which takes into account multiple saliencies, and a technique to obtain the position-dependent inductances, are proposed in [34].…”
Section: Mathematical Model Of Ipmsmmentioning
confidence: 99%
“…Paper [36] takes into account the effect of the stator iron resistance in the mathematical model of the IPMSM for a more accurate control of the machine. The IPMSM models introduced in [29,33] also model the effect of the iron losses.…”
Section: Mathematical Model Of Ipmsmmentioning
confidence: 99%