Share

Export Citation

APA
MLA
Chicago
Harvard
Vancouver
BIBTEX
RIS
Universitas Hasanuddin
Research output:Contribution to journalArticlepeer-review

The Application of Magnet Structures to Reduce the Cogging Torque Associated with Fractional Slot Number in Permanent Magnet Generators

Said S.M.

Energies

Q1
Published: 2024Citations: 7

Abstract

This study proposes the application of a magnet structure to minimize the cogging torque (CT) and unstable pull in endless magnet generators. The investigation was conducted using an integral slot number of 24 slots and 10 poles, as well as a fractional slot number of 18 slots and 8 poles. The purpose of combining the multi-slot mechanism with pole arc optimization at the magnet edge was to underestimate the peak CT through a reduction in the quantity of tangential flux density. However, the results indicate that CT did not decrease significantly using this method, and this led to the optimization of the edge shape in the magnet structure through the introduction of the surface response method. The combination method’s goal was to ensure a significant reduction in both the integral and fractional slot numbers of the permanent magnet generator. The results show that the CT in the structure with an integral slot number of 24 slots and 10 poles decreased to around 99.4% compared with the baseline structure, while the CT in the structure with a fractional slot number of 18 slots and 8 poles was minimized to 98.8%. This led to the conclusion that the techniques could be combined in structure with any number of integral and fractional slots to reduce CT.

Access to Document

10.3390/en17112505

Other files and links

Fingerprint

Cogging torqueSciences
MagnetSciences
TorqueSciences
Permanent magnet synchronous generatorSciences
Electropermanent magnetSciences
Automotive engineeringSciences
Mechanical engineeringSciences
Materials scienceSciences
Control theory (sociology)Sciences
Computer scienceSciences
PhysicsSciences
EngineeringSciences
ThermodynamicsSciences
Control (management)Sciences
Artificial intelligenceSciences