IEEE Access (Jan 2022)

Analytical Modeling and Optimization of Partitioned Permanent Magnet Consequent Pole Switched Flux Machine With Flux Barrier

  • Wasiq Ullah,
  • Faisal Khan,
  • Shahid Hussain,
  • Muhammad Yousaf,
  • Siddique Akbar

DOI
https://doi.org/10.1109/ACCESS.2022.3224020
Journal volume & issue
Vol. 10
pp. 123905 – 123919

Abstract

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Switched Flux Permanent Magnet Machine (SFPMM) encompass unique features of conventional direct current machine, permanent magnet (PM) synchronous machine and switch reluctance machine therefore, applicable for high-speed applications. However, conventional SFPMM exhibits demerits of high PM volume $(V_{PM})$ , high torque ripples $(T_{rip})$ , higher cogging torque $(T_{cog})$ , lower torque density $(T_{den})$ and significant stator flux leakage. In this paper, a new topology of consequent pole (CP) SFPMM (CPSFPMM) is proposed having partitioned PM that improved flux modulation phenomena utilizing flux barriers. Moreover, due to non-linear behaviour of PM and complex stator structure alternate analytical sub-domain model is utilizes for initial design. However, initial design offers lower open-circuit phase flux linkage $(\Phi)$ , average mechanical torque $(T_{avg})$ and $T_{den}$ . Aforementioned electromagnetic key performance indicator with $T_{cog}$ , $T_{rip}$ , total harmonics distortion in $\Phi $ ( $\Phi _{THD}$ ), average power $(P_{avg})$ and power density $(P_{den})$ are refined utilizing Geometric-Based Deterministic Optimization (GBDO). Analysis reveals that proposed new topology of CPSFPMM with flux barriers reduces $T_{cog}$ by 34.90%, $T_{rip}$ by 20.27%, $\Phi _{THD}$ by 28.08% whereas it enhanced $P_{avg}$ by 17.79%, $T_{den}$ and $P_{den}$ by 34.38%.

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