Stator Inter-turn Fault Modelling and Analysis on Induction Motor based on MCCM

Babu, Akash C.; Seshadrinath, Jeevanand

doi:10.1109/sefet48154.2021.9375669

Cited by 7 publications

(1 citation statement)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The situation becomes even more complex when the core flux densities reach the saturation region of non-linear B-H characteristics. Since energy stored in the magnetic field can be calculated based on the flux density [28], the proposed solution in this paper is to use the net energy, W net (α r ,t), to calculate the net torque of the machine (τ em _ net ), as shown in (14), while removing the energy associated with the MMF drops, W atn (α r ,t), calculated based on the airgap magnetic flux density due to the MMF drops B ag _ atn (α s ,t) as in (15).…”

Section: Integration Of Core Mmf Drops Into Torque Calculationmentioning

confidence: 99%

Magnetic Field-Based Induction Machine Modeling Incorporating Space and Time Harmonic Effects

Guruwatta Vidanalage,

Lombardi,

Tjong

et al. 2024

IEEE Access

View full text Add to dashboard Cite

Integration of the impacts of time and space harmonics simultaneously during the design stages of inverter-fed induction machines (IMs) is crucial for the accurate calculation of electromagnetic torque (EM) and ripples. Traditional magnetic field-based models offer an analytical approach for determining the EM torque in IMs by calculating inductances. However, by assuming infinite core permeabilities, these models neglect the impact of the core magnetomotive force (MMF) drops due to the difficulties in accurately calculating these drops and the impracticality of isolating the contribution from each phase, which is essential for inductances calculations. These factors contribute to deficiencies in this modeling approach, which become more noticeable when the combined impacts of time and space harmonics on MMF drop calculations are also disregarded. Therefore, this paper introduces a novel magnetic-field-based model to predict the torque and torque ripples of inverter-fed induction motors by addressing the above limitations. This involves modifying the turns and winding function, and calculating the core MMF drops based on the timely variation of non-sinusoidal core flux densities, considering their major and minor flux-density loop effects. Consequently, the associated energy is used to calculate the net available energy, thereby enhancing torque calculations. Compared to the experimental results obtained from an 11kW prototyped induction motor, the proposed model exhibits notable enhancements, achieving average accuracies of 96.4% for average torque and 94.51% for torque ripples, in contrast to the respective traditional model accuracies, 81.1% and 45.1%.

show abstract

Section: Integration Of Core Mmf Drops Into Torque Calculationmentioning

confidence: 99%