Rotor Design Optimization of a New Flux-Assisted Consequent Pole Spoke-Type Permanent Magnet Torque Motor for Low-Speed Applications

Onsal, M.; Cumhur, B.; Demir, Y.; Yolaçan, Ersin; Aydın, Metin

doi:10.1109/tmag.2018.2832076

Cited by 55 publications

(29 citation statements)

References 11 publications

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“…First, it is necessary to express the airgap length and PM thickness as a variable for normalization. Hence, we use the well-known permeance coefficient, K pc , defined as (7) where K t denotes the thickness factor defined by l m /l ge , K ac denotes the additional concentration coefficient to consider the magnetic concentration structure based on machine type, and K ∅ denotes the magnetic concentration coefficient.…”

Section: Analytical Study Using Mec Equationsmentioning

confidence: 99%

See 1 more Smart Citation

Sensitivity Comparison of Open-Circuit Airgap Flux Between Surface-Mounted Permanent Magnet and Spoke-Type Permanent Magnet Machines Considering Manufacturing Tolerances

Jun

Kwon

2019

IEEE Access

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The study compares the sensitivities of open-circuit airgap flux (OCAF) between a surfacemounted permanent magnet (SPM) machine and a spoke-type PM machine based on variations in airgap length including additional airgaps between permanent magnets and rotor core and between segmented stator cores to achieve high quality electric machines. Analytical equations deduced from magnetic equivalent circuits (MECs) are used to directly compare natural-born characteristics of the OCAF of the two machines. First, the MEC of each machine is modeled by considering two additional airgaps between the PMs and rotor core and between the segmented stator cores. Second, the OCAF equation of each machine is derived from the MEC to analyze the effects of the design variables on the OCAF. Subsequently, the partial derivative equation of the OCAF equation with respect to the airgap length is obtained for sensitivity analysis. A comparison of the equations of the two machines indicates that the spoke-type PM machine exhibits inherently higher sensitivity and average value of the OCAF when compared to that of the SPM machine. Finally, the results are validated via a two-dimensional finite element method (FEM) by considering the variations in airgap lengths.

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Section: Analytical Study Using Mec Equationsmentioning

confidence: 99%

“…Using the 2D-FEM with rotor rotating condition for the characteristics comparison between the two machines, we examine more actual cases via the Monte-Carlo simulation [7] by considering the slotted stator in Fig. 2 and variation in the airgap length due to the manufacturing tolerance.…”

Section: B Performance Sensitivity In Slotted Statormentioning

confidence: 99%

Sensitivity Comparison of Open-Circuit Airgap Flux Between Surface-Mounted Permanent Magnet and Spoke-Type Permanent Magnet Machines Considering Manufacturing Tolerances

Jun

Kwon

2019

IEEE Access

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“…Thus, the use of PMSM is being increased in the industry [4]. In this regard, PMSMs coupled to multiple mechanical components, such as screw shafts, external bearings, couplings or multistage gearboxes, represent common industrial EMDS subjected to multiple operating conditions.…”

Section: Introductionmentioning

confidence: 99%

Deep-Learning-Based Methodology for Fault Diagnosis in Electromechanical Systems

Arellano-Espitia

Delgado-Prieto

Martinez-Viol

et al. 2020

Sensors

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Fault diagnosis in manufacturing systems represents one of the most critical challenges dealing with condition-based monitoring in the recent era of smart manufacturing. In the current Industry 4.0 framework, maintenance strategies based on traditional data-driven fault diagnosis schemes require enhanced capabilities to be applied over modern production systems. In fact, the integration of multiple mechanical components, the consideration of multiple operating conditions, and the appearance of combined fault patterns due to eventual multi-fault scenarios lead to complex electromechanical systems requiring advanced monitoring strategies. In this regard, data fusion schemes supported with advanced deep learning technology represent a promising approach towards a big data paradigm using cloud-based software services. However, the deep learning models’ structure and hyper-parameters selection represent the main limitation when applied. Thus, in this paper, a novel deep-learning-based methodology for fault diagnosis in electromechanical systems is presented. The main benefits of the proposed methodology are the easiness of application and high adaptability to available data. The methodology is supported by an unsupervised stacked auto-encoders and a supervised discriminant analysis.

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“…At present, there are three main solutions for air gap flux density optimization of permanent magnet synchronous motors: 1) optimizing the shape of permanent magnets (PM) [10,11]; 2) accurately controlling the magnetization process [12,13]; 3) adopting a new structure of permanent magnet motors [14,15]. In [16], an improved analytical method for calculating the magnetic field and cogging torque of surface mounted PMSM with arbitrary eccentric rotor shape is proposed, which can greatly reduce the harmonic content of radial flux density.…”

Section: Introductionmentioning

confidence: 99%

A Method of Reducing Air-Gap Harmonic of Permanent Magnet Motor for Fitness Car

Zang¹,

Wang²,

Jing³

2019

PIER Letters

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In order to solve the high harmonic content of permanent magnet synchronous motor (PMSM) for fitness car, a PMSM with built-in permanent magnet bridge is proposed in this paper. Compared with surface mounted permanent magnet synchronous motor (SM-PMSM), the proposed motor with permanent magnet bridge structure has lower harmonic content. The performance and magnetization angle of the proposed motor are compared and analyzed in detail. The results obtained from finite element analysis show that the permanent magnet bridge can increase the air gap magnetic field intensity, and different directions of magnetization will affect the amplitude of fundamental wave of air gap magnetic density. Moreover, it can reduce the total harmonic distortion (THD) and make the magnetic density waveform more sinusoidal. It is very beneficial to the smooth output of torque of fitness car.

show abstract

Rotor Design Optimization of a New Flux-Assisted Consequent Pole Spoke-Type Permanent Magnet Torque Motor for Low-Speed Applications

Cited by 55 publications

References 11 publications

Sensitivity Comparison of Open-Circuit Airgap Flux Between Surface-Mounted Permanent Magnet and Spoke-Type Permanent Magnet Machines Considering Manufacturing Tolerances

Sensitivity Comparison of Open-Circuit Airgap Flux Between Surface-Mounted Permanent Magnet and Spoke-Type Permanent Magnet Machines Considering Manufacturing Tolerances

Deep-Learning-Based Methodology for Fault Diagnosis in Electromechanical Systems

A Method of Reducing Air-Gap Harmonic of Permanent Magnet Motor for Fitness Car

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