Design and Analysis of New Dual-Stator Field Modulation Machines With Multiple Magnetic Excitations

This article proposes new dual-stator field modulation machines with multiple magnetic excitations (MME-DSFMMs), i.e., NdFeB magnet excitation for rotor, ferrite magnet excitation for outer stator, and direct current (dc) excitation for inner stator. The open-slot stator teeth performs the role of m...

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Bibliographic Details
Published in:IEEE transactions on magnetics 2021-02, Vol.57 (2), p.1-6
Main Authors: Wang, Haitao, Ding, Shuye
Format: Article
Language:English
Subjects:
Air gaps
Atmospheric modeling
Coils (windings)
Configuration management
Direct current
Dual-stator machine
Electromagnetic forces
Excitation
Ferrites
field modulation machine
Finite element method
flux regulation
Harmonic distortion
Integrated circuit modeling
Low speed
Magnetic fields
Magnetic flux
Magnetism
Modulation
multiple magnetic excitations
Permanent magnets
Power factor
Stator windings
Stators
Topology
Torque
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Description
Summary:This article proposes new dual-stator field modulation machines with multiple magnetic excitations (MME-DSFMMs), i.e., NdFeB magnet excitation for rotor, ferrite magnet excitation for outer stator, and direct current (dc) excitation for inner stator. The open-slot stator teeth performs the role of modulator to modulate the magnetic field excited by NdFeB magnets. DC field windings with dc in the same direction are used to regulate the magnetic field. The ferrite magnets embedded at the top of outer stator slot are used to suppress the harmonic distortion. Therefore, the proposed machines have the merits of high torque production at low speed, wide speed range, and low torque ripple in full operation range. The configuration, operation principle, and design consideration of the proposed MME-DSFMMs are described. The electromagnetic performances of new topologies with different number of ferrite magnets, including back-electromagnetic force, torque characteristics, and power factor, are analyzed using finite-element analysis to show the merits of the proposed machines.
ISSN:0018-9464
1941-0069
DOI:10.1109/TMAG.2020.3005462