NDLI: Saliency based sensorless control of induction machines at frequency overlap of signal components

Content Provider	IEEE Xplore Digital Library
Author	Metwally, M.K. Wolbank, T.M.
Copyright Year	2011
Description	Author affiliation: Department of Electrical Drives and Machines, Vienna University of Technology, Austria (Wolbank, T.M.) \|\| Department of Electrical Engineering, Faculty of Engineering, Menoufia University, Egypt (Metwally, M.K.)
Abstract	This paper presents sensorless control at the critical point of operation existing at overlap of saliency frequencies which, so far has not been addressed by research. Considering induction machines, the resulting signals from injection based sensorless control methods are composed of saliency components caused by saturation, slotting or anisotropy, as well as inter-modulation effects. The points of operation at the spectral overlap of any two of the resulting signal's components are critical in terms of control performance as then a reliable separation is only possible feed forward. A well designed and trained neural network is applied to sequentially separate the different components. Up to now research focused on investigating zero speed, zero frequency operation neglecting the mentioned critical overlap area. In this paper first experimental results are presented verifying sustained sensorless operation at overlap of saliency signal's components.
Starting Page	646
Ending Page	651
File Size	1386114
Page Count	6
File Format	PDF
ISBN	9781457705427
e-ISBN	9781457705410
DOI	10.1109/ECCE.2011.6063830
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-17
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pulse injection Rotors Sensorless control Artificial neural networks Fourier transform Neural network Modulation Induction machine Saturation saliency Sensors Inter-modulation induced signal Induction machines Transient analysis Slotting saliency
Content Type	Text
Resource Type	Article

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