TY - GEN
T1 - Multi-Objective Optimization of the Iron Bridge between Segmeted PMs for an Outer-Rotor Brushless DC Motor
AU - Zhao, Han
AU - Zhang, He
AU - Zhang, Xiaochen
AU - Gerada, David
AU - Li, Jing
AU - Zhang, Jing
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - average torque
KW - iron bridge
KW - multi-objective optimization (MOO)
KW - Outer-rotor brushless DC (BLDC) motor
KW - segmented permanent magnet (PM)
KW - torque ripple
UR - http://www.scopus.com/inward/record.url?scp=85146327909&partnerID=8YFLogxK
U2 - 10.1109/ICIT48603.2022.10002730
DO - 10.1109/ICIT48603.2022.10002730
M3 - Conference contribution
AN - SCOPUS:85146327909
T3 - Proceedings of the IEEE International Conference on Industrial Technology
BT - 2022 IEEE International Conference on Industrial Technology, ICIT 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE International Conference on Industrial Technology, ICIT 2022
Y2 - 22 August 2022 through 25 August 2022
ER -
