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An analysis of the benefits of signal injection for low-speed sensorless control of induction motors

Authors: Pascal Combes, François Malrait , Philippe Martin , Pierre Rouchon, International Symposium on Power Electronics, Electrical Drives, Automation and Motion 2016, pp. 721 - 727, June 22-24, 2016, Capri
We analyze why low-speed sensorless control of the IM is intrinsically dicult, and what is gained by signal injection. The explanation relies on the control-theoretic concept of observability applied to a general model of the saturated IM. We show that the IM is not observable when the stator speed is zero in the absence of signal injection, but that observability is restored thanks to signal injection and magnetic saturation.The analysis also reveals that existing sensorless algorithms based on signal injection may perform poorly for some IMs under particular operating conditions. The approach is illustrated by simulations and experimental data.
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BibTeX
@Proceedings{2017-03-10,
author = {Pascal Combes, François Malrait, Philippe Martin, Pierre Rouchon},
editor = {},
title = {An analysis of the benefits of signal injection for low-speed sensorless control of induction motors},
booktitle = {International Symposium on Power Electronics, Electrical Drives, Automation and Motion 2016},
volume = {},
publisher = {},
address = {Capri},
pages = {721 - 727},
year = {2016},
abstract = {We analyze why low-speed sensorless control of the IM is intrinsically di
cult, and what is gained by signal injection. The explanation relies on the control-theoretic concept of observability applied to a general model of the saturated IM. We show that the IM is not observable when the stator speed is zero in the absence of signal injection, but that observability is restored thanks to signal injection and magnetic saturation.The analysis also reveals that existing sensorless algorithms based on signal injection may perform poorly for some IMs under particular operating conditions. The approach is illustrated by simulations and experimental data.},
keywords = {}}
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