NDLI: Separation of saliency components for speed sensorless detection of flux and rotor position of induction machines

Content Provider	IEEE Xplore Digital Library
Author	Wolbank, T.M. Metwally, M.K.
Copyright Year	2008
Description	Author affiliation: Dept. of Electr. Drives & Machines, Vienna Univ. of Technol., Vienna (Wolbank, T.M.; Metwally, M.K.)
Abstract	Sensorless field oriented control schemes of induction machines have been of high interest in recent years since the mechanical sensor considerably increases the cost of a drive and decreases its reliability. Methods which do not fail at zero fundamental frequency have to rely on non-fundamental effects of the motor. In the non fundamental wave model based mechanical sensorless control of AC machines the flux/rotor position can be estimated by evaluating the current response to voltage pulses. This current slope is modulated by all spatial saliencies in the machine. Sources of these saliencies can be various, for instance the saturation of the machine by the main flux, the slotting, or anisotropy, as well as inter-modulation effects. 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 artificial neural networks (ANN) has been experimentally implemented and measurement results are given to show the advantages of the application of the proposed technique at low and zero speed sensorless control even at high load levels.
Starting Page	1
Ending Page	6
File Size	1008673
Page Count	6
File Format	PDF
ISBN	9781424417353
DOI	10.1109/ICELMACH.2008.4800253
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-09-06
Publisher Place	Portugal
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Costs AC machines Rotors inter-modulation saliency Sensorless control Artificial neural networks slotting Fourier transform Frequency measurement Neural network Mechanical sensors saturation Anisotropic magnetoresistance pulse injection Induction machine Induction machines Velocity measurement
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Speed sensorless flux and position control of induction machines based on pulse injection and multiple saliency extraction

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

Spectral overlap of saliency signal components in injection based sensorless controlled induction machines

Sensorless Position and Torque Control of Induction Motors Based on Transient Signal Injection and Advanced Signal Processing

Comparison of inherent saliency tracking methods for zero speed sensorless control of standard induction machines

Zero Speed Sensorless Control of Induction Machines Using Rotor Saliencies

Sensorless control of induction machines with different designs — Impact on signal processing

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

Flux position estimation using current derivatives for the sensorless control of AC machines

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

Similar Documents

Speed sensorless flux and position control of induction machines based on pulse injection and multiple saliency extraction

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

Spectral overlap of saliency signal components in injection based sensorless controlled induction machines

Sensorless Position and Torque Control of Induction Motors Based on Transient Signal Injection and Advanced Signal Processing

Comparison of inherent saliency tracking methods for zero speed sensorless control of standard induction machines

Zero Speed Sensorless Control of Induction Machines Using Rotor Saliencies

Sensorless control of induction machines with different designs — Impact on signal processing

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

Flux position estimation using current derivatives for the sensorless control of AC machines

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