Signal injection and averaging for position estimation of Permanent-Magnet Synchronous Motors
Authors: Al K. Jebai, F. Malrait, Ph. Martin, P. Rouchon, IEEE Conference on Decision and Control (2012), pp. 7608-7613, December 10-13, 2012, Hawai, USA.
Sensorless control of Permanent-Magnet Synchronous Motors at low velocity remains a challenging task. A now well-established method consists in injecting a high-frequency signal and use the rotor saliency, both geometric and magnetic-saturation induced. This paper proposes a clear and original analysis based on second-order averaging of how to recover the position information from signal injection; this analysis blends well with a general model of magnetic saturation. It also experimentally demonstrates the relevance for position estimation of a simple parametric saturation model recently introduced by the authors.
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BibTeX:
@Proceedings{,
author = {Al K. Jebai, F. Malrait, Ph. Martin, P. Rouchon},
editor = {},
title = {Signal injection and averaging for position estimation of Permanent-Magnet Synchronous Motors},
booktitle = {IEEE Conference on Decision and Control (2012)},
volume = {},
publisher = {},
address = {Hawai},
pages = {7608-7613},
year = {2012},
abstract = {Sensorless control of Permanent-Magnet Synchronous Motors at low velocity remains a challenging task. A now well-established method consists in injecting a high-frequency signal and use the rotor saliency, both geometric and magnetic-saturation induced. This paper proposes a clear and original analysis based on second-order averaging of how to recover the position information from signal injection; this analysis blends well with a general model of magnetic saturation. It also experimentally demonstrates the relevance for position estimation of a simple parametric saturation model recently introduced by the authors.},
keywords = {Current measurement, Estimation, Observability, Rotors, Saturation magnetization, Sensorless control, Torque}}
Sensorless control of Permanent-Magnet Synchronous Motors at low velocity remains a challenging task. A now well-established method consists in injecting a high-frequency signal and use the rotor saliency, both geometric and magnetic-saturation induced. This paper proposes a clear and original analysis based on second-order averaging of how to recover the position information from signal injection; this analysis blends well with a general model of magnetic saturation. It also experimentally demonstrates the relevance for position estimation of a simple parametric saturation model recently introduced by the authors.
Download PDF
BibTeX:
@Proceedings{,
author = {Al K. Jebai, F. Malrait, Ph. Martin, P. Rouchon},
editor = {},
title = {Signal injection and averaging for position estimation of Permanent-Magnet Synchronous Motors},
booktitle = {IEEE Conference on Decision and Control (2012)},
volume = {},
publisher = {},
address = {Hawai},
pages = {7608-7613},
year = {2012},
abstract = {Sensorless control of Permanent-Magnet Synchronous Motors at low velocity remains a challenging task. A now well-established method consists in injecting a high-frequency signal and use the rotor saliency, both geometric and magnetic-saturation induced. This paper proposes a clear and original analysis based on second-order averaging of how to recover the position information from signal injection; this analysis blends well with a general model of magnetic saturation. It also experimentally demonstrates the relevance for position estimation of a simple parametric saturation model recently introduced by the authors.},
keywords = {Current measurement, Estimation, Observability, Rotors, Saturation magnetization, Sensorless control, Torque}}