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

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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.
Keywords
MOTORS, ZERO, DRIVES, SENSORLESS CONTROL

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Please use this url to cite or link to this publication:

MLA
Gabriel, Fabien, Frederik De Belie, and Xavier Neyt. “Inductance-based Position Self-sensing of a Brushless DC-machine Using High-frequency Signal Injection.” IEEE Industrial Electronics Society. IEEE, 2012. 3662–3667. Print.
APA
Gabriel, F., De Belie, F., & Neyt, X. (2012). Inductance-based position self-sensing of a Brushless DC-machine using high-frequency signal injection. IEEE Industrial Electronics Society (pp. 3662–3667). Presented at the 38th Annual Conference of the IEEE Industrial Electronics Society (IECON - 2012), IEEE.
Chicago author-date
Gabriel, Fabien, Frederik De Belie, and Xavier Neyt. 2012. “Inductance-based Position Self-sensing of a Brushless DC-machine Using High-frequency Signal Injection.” In IEEE Industrial Electronics Society, 3662–3667. IEEE.
Chicago author-date (all authors)
Gabriel, Fabien, Frederik De Belie, and Xavier Neyt. 2012. “Inductance-based Position Self-sensing of a Brushless DC-machine Using High-frequency Signal Injection.” In IEEE Industrial Electronics Society, 3662–3667. IEEE.
Vancouver
1.
Gabriel F, De Belie F, Neyt X. Inductance-based position self-sensing of a Brushless DC-machine using high-frequency signal injection. IEEE Industrial Electronics Society. IEEE; 2012. p. 3662–7.
IEEE
[1]
F. Gabriel, F. De Belie, and X. Neyt, “Inductance-based position self-sensing of a Brushless DC-machine using high-frequency signal injection,” in IEEE Industrial Electronics Society, Montréal, Canada, 2012, pp. 3662–3667.
@inproceedings{3377905,
  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.},
  author       = {Gabriel, Fabien and De Belie, Frederik and Neyt, Xavier},
  booktitle    = {IEEE Industrial Electronics Society},
  isbn         = {9781467324205},
  issn         = {1553-572X},
  keywords     = {MOTORS,ZERO,DRIVES,SENSORLESS CONTROL},
  language     = {eng},
  location     = {Montréal, Canada},
  pages        = {3662--3667},
  publisher    = {IEEE},
  title        = {Inductance-based position self-sensing of a Brushless DC-machine using high-frequency signal injection},
  year         = {2012},
}

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