IEEE Access (Jan 2023)

An Approach for Estimating the Cogging Torque Performance Considering Manufacturing Uncertainties for the IPM Machine

  • Yongxi Yang,
  • William Cai,
  • Xin Jin,
  • Shuo Zhang,
  • Chengning Zhang,
  • Rui Li,
  • Yue Zhao

DOI
https://doi.org/10.1109/ACCESS.2023.3319951
Journal volume & issue
Vol. 11
pp. 107019 – 107030

Abstract

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The design tolerances and material defects are frequently inevitable in the real manufacturing process, where unexpected additional cogging torque might be caused as a result. An approach fast estimating the design performances under manufacturing uncertainties is highly expected. In this paper, the previously proposed worst-uncertain-combination-analysis (WUCA) approach is further modified, where the influences of rotor geometries could be taken into account. A 10-pole-12-slot (10P12S) permanent magnet (PM) machine with non-uniform air-gap considering the rotor uncertainties is taken as an example. The cogging torque robustness for designs with different air-gap saliency ratios are discussed and compared. A medium value of air-gap saliency is suggested to achieve a balance between the ideal and worst-scenario performance under rotor uncertainties. Three prototypes with different air-gap saliency ratios are manufactured, where the possibly worst-case under uncertainties are imitated with a special PM assembling sequence. The deduction is then verified by the experimental results of the prototypes.

Keywords