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Separation of saliency information for speed sensorless detection of induction machines flux and rotor position

Thomas M. Wolbank (Department of Electrical Drives and Machines, Vienna University of Technology, Vienna, Austria)
Mohamed K. Metwally (Electrical Engineering Department, Faculty of Engineering, Menoufiya University, Menoufiya, Egypt)
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Abstract

Purpose

The purpose of this paper is to describe an effective method to eliminate or substantially reduce the modulation harmonics due to saturation and inter‐modulation for sensorless speed control induction motor drives at low and zero speed with high loads using artificial neural networks (ANNs).

Design/methodology/approach

In this paper, the separation of the saturation signal, the slotting signal, and the inter‐modulation signal components in squirrel cage induction machines operating at low and zero frequency using ANNs has been experimentally implemented and measurement results are given.

Findings

The measurement results show the advantages of the application of the proposed technique at low and zero speed sensorless control even at high load levels.

Originality/value

The paper describes an effective method of eliminating or reducing modulation harmonics in induction motor drives.

Keywords

Citation

Wolbank, T.M. and Metwally, M.K. (2010), "Separation of saliency information for speed sensorless detection of induction machines flux and rotor position", COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, Vol. 29 No. 5, pp. 1380-1392. https://doi.org/10.1108/03321641011061560

Publisher

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Emerald Group Publishing Limited

Copyright © 2010, Emerald Group Publishing Limited

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