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Idealized two-axis models of faulty induction machines
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
2005 (English)Report (Other academic)
Abstract [en]

In this report a general framework for developing two-axis models for Induction Machines (IMs) with electrical faults is presented. It produces models that are of reasonably low differential order, suitable for mathematical analysis and can serve as a ground for fault detection and fault tolerant control of the IM. The modelling is performed by applying well established idealizing assumptions regarding the magnetic and electrical properties of the motor. In particular, models describing the IM subject to electrical faults in the stator and rotor are derived. Typical motor faults as inter-turn short circuit, increased winding resistance and broken rotor bars are taken into account. The models are validated against data collected from mass-produced industrial IMs. The validation shows very good agreement between simulations and experiment, for each of the considered faults. Finally, a stability proof for the derived models is presented enabling their use in control and monitoring applications.

Place, publisher, year, edition, pages
Luleå: Luleå tekniska universitet, 2005. , 22 p.
Series
Research report / Luleå University of Technology, ISSN 1402-1528 ; 2005:05
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-24461Local ID: b0dce330-b29c-11db-bf9d-000ea68e967bOAI: oai:DiVA.org:ltu-24461DiVA: diva2:997513
Note

Godkänd; 2005; 20070202 (ysko)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2017-11-24Bibliographically approved

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fulltext(3808 kB)21 downloads
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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  • de-DE
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  • en-US
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
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