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

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

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 languageEnglish
Title of host publication23rd IEEE International Conference on Industrial Technology
PublisherIEEE Industrial Electronics Society
Publication statusAccepted/In press - 1 Mar 2022

Keywords

  • Outer-rotor brushless DC (BLDC) motor, segmented permanent magnet (PM), iron bridge, multi-objective optimization (MOO), average torque, torque ripple

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