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Fault detection based on set membership identification for three phase induction motors
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0003-0126-1897
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0002-0079-9049
2012 (English)Conference paper, Presentation (Refereed)
Abstract [en]

In this article a fault detection scheme for stator winding short circuit fault detection in the case of a three phase induction motor is being presented. The three phase motor is model in (q-d) model space for the normal and the faulty case. The motor is being identified by the utilization of Set Membership Identification (SMI) that has the merit of identifying both the parameters of the motor as also providing uncertainty safety bounds by calculating orthotopes which bounds the system’s parameter vector. Based on the volume and the trend of these orthotopes, rules for identifying the existence of a fault are being presented. If the current values of the identified parameters do not lie inside the safety bounds in the healthy case, but lie in an area that is being defined by the model of the short circuit case, then a fault is being triggered.

Place, publisher, year, edition, pages
2012.
Keyword [en]
Information technology - Automatic control
Keyword [sv]
Informationsteknik - Reglerteknik
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-40481Local ID: fa1bb53d-0842-474f-b2e7-b13ae54042f9OAI: oai:DiVA.org:ltu-40481DiVA: diva2:1014003
Conference
Reglermöte 2012 : 13/06/2012 - 14/06/2012
Projects
Feldetektering i elektriska maskiner
Note
Godkänd; 2012; 20120810 (ysko)Available from: 2016-10-03 Created: 2016-10-03 Last updated: 2017-09-15Bibliographically approved

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