Title :
Inductance-based position self-sensing of a brushless DC-machine using high-frequency signal injection
Author :
Gabriel, Fabien ; De Belie, Frederik ; Neyt, X.
Author_Institution :
Signal & Image Centre (SIC), R. Mil. Acad. (RMA), Brussels, Belgium
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 :
PWM invertors; brushless DC motors; electric resistance; inductance; machine control; magnetic fields; robust control; rotors; stators; control scheme robustness; harmonic content; high-frequency signal injection; inductance estimation; inductance-based position self-sensing; inverter nonlinearities; low-inductance brushless DC-machine; magnetic anisotropy; magnetic field; rotor position; rotor-position estimation; stator resistance impact; Inverters; Lead; Magnetic field measurement; Magnetic fields;
Conference_Titel :
IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4673-2419-9
Electronic_ISBN :
1553-572X
DOI :
10.1109/IECON.2012.6389306