Abstract
To facilitate the processing, transportation and assembly of permanent magnet, a segmented PM design with positioning slots is proposed for an outer-rotor brushless DC motor in this article. First, the effect of the iron bridge between the segmented PMs on the motor performance is investigated by the method of finite element analysis. Further, a multi-objective optimization algorithm based on metamodel of optimal prognosis is employed to optimize the geometry of the iron bridge and the optimal solution is determined from the Pareto front by taking a tradeoff design between different objectives. After optimization, a detailed comparative analysis of the motor performance between initial and optimized design is carried out to verify the superiority of the optimized motor.
| Original language | English |
|---|---|
| Title of host publication | 2022 IEEE International Conference on Industrial Technology, ICIT 2022 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781728119489 |
| DOIs | |
| Publication status | Published - 2022 |
| Event | 2022 IEEE International Conference on Industrial Technology, ICIT 2022 - Shanghai, China Duration: 22 Aug 2022 → 25 Aug 2022 |
Publication series
| Name | Proceedings of the IEEE International Conference on Industrial Technology |
|---|---|
| Volume | 2022-August |
Conference
| Conference | 2022 IEEE International Conference on Industrial Technology, ICIT 2022 |
|---|---|
| Country/Territory | China |
| City | Shanghai |
| Period | 22/08/22 → 25/08/22 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Free Keywords
- average torque
- iron bridge
- multi-objective optimization (MOO)
- Outer-rotor brushless DC (BLDC) motor
- segmented permanent magnet (PM)
- torque ripple
ASJC Scopus subject areas
- Computer Science Applications
- Electrical and Electronic Engineering
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