Reduction of Torque Ripples in Multi-Stack Slotless Axial Flux Machine by Using Right Angled Trapezoidal Permanent Magnetopen access
- Authors
- Yousuf, Muhammad; Khan, Faisal; Ikram, Junaid; Badar, Rabiah; Bukhari, Syed Sabir Hussain; Ro, Jong-Suk
- Issue Date
- Feb-2021
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- Torque; Stator windings; Shape; Rotors; Stator cores; Saturation magnetization; Torque measurement; Axial flux machine; torque ripples; cogging torque; slotless stator; finite element analysis
- Citation
- IEEE ACCESS, v.9, pp 22760 - 22773
- Pages
- 14
- Journal Title
- IEEE ACCESS
- Volume
- 9
- Start Page
- 22760
- End Page
- 22773
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/48341
- DOI
- 10.1109/ACCESS.2021.3056589
- ISSN
- 2169-3536
- Abstract
- The aim of this paper is to design, analyze and optimize the "Multi-Stack Slotless Axial Flux Switching Permanent Magnet Machine". In the design process, mathematical models are implemented, and the Finite Element Method (FEM) is performed to analyze the machine performances. The paper aims to minimize the occurrence of cogging torque and torque ripple in the multi-stack slotless stator AFPM machine. As a consequence, it reduces the vibrations in the machine and increases its life span. Multi-stack slotless stator AFPM machine with a right-angled trapezoid-shaped PM is proposed and comparison is done with conventional shape AFPM machine. In order to examine the performance of multi-stack slotless stator AFPM machine Finite Element Analysis (FEA) is used. To further enhance the characteristics of the designed machine with the proposed right-angled PM shape, optimization is done by considering inner and outer pole pitch as the design variables. In optimization process, krigging method assigned with Latin Hyper-cube Sampling and a genetic algorithm (GA) is performed due to suitability with non-linear data. Then, finite element analysis by JMAG-Designer is performed to verify the results. It is determined that optimized model has achieved 65% reduction in torque ripples as compared with the conventional design. Hence, this work attempts to optimize the performance of the AFPM machine.
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