Multi-Objective Optimization of the Iron Bridge between Segmeted PMs for an Outer-Rotor Brushless DC Motor

Zhao, Han; Zhang, He; Zhang, Xiaochen; Gerada, David; Li, Jing; Zhang, Jing

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.

Citation

Zhao, H., Zhang, H., Zhang, X., Gerada, D., Li, J., & Zhang, J. (2022, August). Multi-Objective Optimization of the Iron Bridge between Segmeted PMs for an Outer-Rotor Brushless DC Motor. Presented at 2022 IEEE International Conference on Industrial Technology (ICIT), Shanghai, China

• Presentation Conference Type: Edited Proceedings
• Conference Name: 2022 IEEE International Conference on Industrial Technology (ICIT)
• Start Date: Aug 22, 2022
• End Date: Aug 25, 2022
• Acceptance Date: Aug 22, 2022
• Online Publication Date: Jan 5, 2023
• Publication Date: Aug 22, 2022
• Deposit Date: Nov 26, 2024
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Pages: 1-6
• Book Title: 2022 IEEE International Conference on Industrial Technology (ICIT)
• ISBN: 9781728119496
• DOI: https://doi.org/10.1109/icit48603.2022.10002730
• Keywords: Outer-rotor brushless DC (BLDC) motor , segmented permanent magnet (PM) , iron bridge , multi-objective optimization (MOO) , average torque , torque ripple
• Public URL: https://nottingham-repository.worktribe.com/output/16216705
• Publisher URL: https://ieeexplore.ieee.org/document/10002730