Saliency-Based Rotor Spatial Position Displacement Self-Sensing for Self-Bearing Machines

Ye gu Kang, Daniel Fernandez, David Diaz Reigosa

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


Self-bearing machines do not contain physical bearings but magnetic bearings. Both rotor rotary and spatial positions displacement are required in these types of machines to control the rotor position while it is levitating. Self-bearing machines often use external sensors for x (horizontal) and y (vertical) spatial position measurement, which will result in additional cost, volume, complexity, and number of parts susceptible to failure. To overcome these issues, this paper proposes a (Formula presented.) -position estimation self-sensing technique based on both main- and cross-inductance variation. The proposed method estimates x and y position based on inductive saliency between two sets of three-phase coils. The proposed idea is applied on a combined winding self-bearing machine which does not require additional suspension force winding. No additional search coil placement for (Formula presented.) -position estimation is required. Therefore, the proposed algorithm can result in a compact size self-bearing machine that does not require external sensors for (Formula presented.) -position measurement and suspension force winding.

Original languageEnglish
Article number9663
Issue number24
StatePublished - Dec 2022


  • bearingless permanent magnet synchronous machines (BPMSMs)
  • high-frequency signal injection (HFI)
  • rotor eccentricity
  • rotor translational displacement
  • spatial position
  • xy-position self-sensing


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