Optimal Tooth Tips Design for Cogging Torque Suppression of Permanent Magnet Machines with a Segmented Stator Core

Brescia, Elia; Palmieri, Marco; Cascella, Giuseppe Leonardo; Cupertino, Francesco

doi:10.1109/icem49940.2020.9270968

Cited by 19 publications

(24 citation statements)

References 23 publications

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“…Note that the airgap length is fixed according to mechanical constraint related to the DHAWT. Following the formulation suggested in [23], the cogging torque of an PMM with an SSC can expressed as:…”

Section: Annular Permanent Magnet Machine With a Segmented Stator Corementioning

confidence: 99%

“…where ϑ r is the rotor angular position, T NHC represents the native harmonic components (NHCs) caused by the stator slots, and T AHC is the AHCs caused by the stator segments. The NHCs frequency is an integer multiple of the LCM between the number of poles (2p) and the number of stator slots (N s ) [23]. Instead, the AHCs frequency is an integer multiple of the LCM between 2p and the number of stator core segments (m):…”

Section: Annular Permanent Magnet Machine With a Segmented Stator Corementioning

confidence: 99%

“…The method proposed for the suppression of the AHCs is based on the design of multiple, periodically reproduced, independent shapes of the tooth tips of the machine, called independent tooth tips. In [23], a simple design formula was developed to determine the number of the independent shapes. This formula has been derived by expressing the airgap flux density as the product of the rotor MMF and a flux-path permeance function.…”

Section: Theoretical Study and Design Formulamentioning

confidence: 99%

“…Moreover, in some cases, the optimal shift angle can exceed the maximum available shift range. In [23], the cogging torque of an annular PMM (APMM) with a SSC has been minimized by designing multiple, periodically reproduced, independent shapes of the tooth tips. The optimal shapes have been achieved through a topological optimization (TO) solved with a genetic algorithm (GA) coupled with 2-D finite element analysis (FEA).…”

Section: Introductionmentioning

confidence: 99%

“…The aim of this paper is to fill the existing gap in the literature, improving the method proposed in [23]. A novel design formula for the choice of the independent tooth tip shapes' numbers is proposed for the design variables reduction.…”

Section: Introductionmentioning

confidence: 99%

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A Design Method for the Cogging Torque Minimization of Permanent Magnet Machines with a Segmented Stator Core Based on ANN Surrogate Models

et al. 2021

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Permanent magnet machines with segmented stator cores are affected by additional harmonic components of the cogging torque which cannot be minimized by conventional methods adopted for one-piece stator machines. In this study, a novel approach is proposed to minimize the cogging torque of such machines. This approach is based on the design of multiple independent shapes of the tooth tips through a topological optimization. Theoretical studies define a design formula that allows to choose the number of independent shapes to be designed, based on the number of stator core segments. Moreover, a computationally-efficient heuristic approach based on genetic algorithms and artificial neural network-based surrogate models solves the topological optimization and finds the optimal tooth tips shapes. Simulation studies with the finite element method validates the design formula and the effectiveness of the proposed method in suppressing the additional harmonic components. Moreover, a comparison with a conventional heuristic approach based on a genetic algorithm directly coupled to finite element analysis assesses the superiority of the proposed approach. Finally, a sensitivity analysis on assembling and manufacturing tolerances proves the robustness of the proposed design method.

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Section: Annular Permanent Magnet Machine With a Segmented Stator Corementioning

confidence: 99%

Section: Annular Permanent Magnet Machine With a Segmented Stator Corementioning

confidence: 99%

Section: Theoretical Study and Design Formulamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Design Method for the Cogging Torque Minimization of Permanent Magnet Machines with a Segmented Stator Core Based on ANN Surrogate Models

et al. 2021

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Heritability of human “directed” functional connectome

et al. 2023

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Introduction:The functional connectivity patterns in the brain are highly heritable; however, it is unclear how genetic factors influence the directionality of such "information flows." Studying the "directionality" of the brain functional connectivity and assessing how heritability modulates it can improve our understanding of the human connectome.Methods: Here, we investigated the heritability of "directed" functional connections using a state-space formulation of Granger causality (GC), in conjunction with blind deconvolution methods accounting for local variability in the hemodynamic response function. Such GC implementation is ideal to explore the directionality of functional interactions across a large number of networks. Resting-state functional magnetic resonance imaging data were drawn from the Human Connectome Project (total n = 898 participants). To add robustness to our findings, the dataset was randomly split into a "discovery" and a "replication" sample (each with n = 449 participants). The two cohorts were carefully matched in terms of demographic variables and other confounding factors (e.g., education). The effect of shared environment was also modeled. Results:The parieto-and prefronto-cerebellar, parieto-prefrontal, and posteriorcingulate to hippocampus connections showed the highest and most replicable heritability effects with little influence by shared environment. In contrast, shared environmental factors significantly affected the visuo-parietal and sensory-motor directed connectivity. Conclusion:We suggest a robust role of heritability in influencing the directed connectivity of some cortico-subcortical circuits implicated in cognition. Further studies, for example using task-based fMRI and GC, are warranted to confirm the asymmetric effects of genetic factors on the functional connectivity within cognitive networks and their role in supporting executive functions and learning.

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Predicting the cytotoxicity of nanomaterials through explainable, extreme gradient boosting

et al. 2022

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Optimal Tooth Tips Design for Cogging Torque Suppression of Permanent Magnet Machines with a Segmented Stator Core

Cited by 19 publications

References 23 publications

A Design Method for the Cogging Torque Minimization of Permanent Magnet Machines with a Segmented Stator Core Based on ANN Surrogate Models

A Design Method for the Cogging Torque Minimization of Permanent Magnet Machines with a Segmented Stator Core Based on ANN Surrogate Models

Heritability of human “directed” functional connectome

Predicting the cytotoxicity of nanomaterials through explainable, extreme gradient boosting

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