Inductance-based position self-sensing of a brushless DC-machine using high-frequency signal injection

Fabien Gabriel, Frederik De Belie, Xavier Neyt

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

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Abstract

Inductance-based self-sensing methods allow to estimate the rotor position by tracking the magnetic anisotropy linked to the rotor. The inductance can be quickly estimated by measuring the response on the injection of high-frequency signals in addition to the signals of normal-operating control. Compared to more conventional permanent-magnet synchronous machines, driving a low-inductance brushless DC-machine presents some issues that must be taken into account: significant inverter nonlinearities, impact of the stator resistance on the inductance estimation, important harmonic content in the magnetic field that leads to errors in the rotor-position estimation. In this paper, we propose a signal-injection solution that removes the stator-resistance impact. A solution to the inverter nonlinearities is also discussed. Experimental results demonstrate the robustness of the control scheme at low and higher speeds.

Original languageEnglish
Title of host publicationProceedings, IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
Pages3682-3687
Number of pages6
DOIs
Publication statusPublished - 2012
Event38th Annual Conference on IEEE Industrial Electronics Society, IECON 2012 - Montreal, QC, Canada
Duration: 25 Oct 201228 Oct 2012

Publication series

NameIECON Proceedings (Industrial Electronics Conference)

Conference

Conference38th Annual Conference on IEEE Industrial Electronics Society, IECON 2012
Country/TerritoryCanada
CityMontreal, QC
Period25/10/1228/10/12

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