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A robust nonlinear Luenberger observer for the sensorless control of SM-PMSM: Rotor position and magnets flux estimation

Authors: Nicolas Henwood, Jeremy Malaize and Laurent Praly, IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society, pp. 1625-1630, 25-28 Oct. 2012, Montreal, Canada
For a Surface-Mounted Permanent Magnet Synchronous Motor (SM-PMSM) with currents and voltages as only measurements, we propose a robust nonlinear Luenberger observer estimating both the rotor position and the magnets flux. The robustness of the observer to the mechanical load connected to the machine shaft comes from an appropriate choice of coordinates, while its robustness to the physical parameters of the machine is studied and reveals satisfactory results. We prove that observers may be designed, i.e. the system is said to be observable, under the only assumption that the rotor speed is non-zero. Experimental results assess its validity.
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BibTeX:
@Proceedings{,
author = {Praly, Nicolas Henwood and Jeremy Malaize and Laurent},
editor = {},
title = {A robust nonlinear Luenberger observer for the sensorless control of SM-PMSM: Rotor position and magnets flux estimation},
booktitle = {IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society},
volume = {},
publisher = {},
address = {Montreal},
pages = {1625-1630},
year = {2012},
abstract = {For a Surface-Mounted Permanent Magnet Synchronous Motor (SM-PMSM) with currents and voltages as only measurements, we propose a robust nonlinear Luenberger observer estimating both the rotor position and the magnets flux. The robustness of the observer to the mechanical load connected to the machine shaft comes from an appropriate choice of coordinates, while its robustness to the physical parameters of the machine is studied and reveals satisfactory results. We prove that observers may be designed, i.e. the system is said to be observable, under the only assumption that the rotor speed is non-zero. Experimental results assess its validity.},
keywords = {Inductance, Minimization, Robustness}}