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  4. Sensorless Position Detection Framework for a Multi-state Switched Reluctance Actuator of a Textile Machine
 
conference paper

Sensorless Position Detection Framework for a Multi-state Switched Reluctance Actuator of a Textile Machine

Liu, Xinchang  
•
Germano, Paolo  
•
Civet, Yoan  
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January 1, 2018
2018 21St International Conference On Electrical Machines And Systems (Icems)
21st International Conference on Electrical Machines and Systems (ICEMS)

Sensorless needle position detection for the actuator of a textile machine is challenging because of its multi current levels used and the transient state when the current changes. A local regression method can be used to represent the variation of inductance via the measurement of the current through the actuator while the keys pass the selection area of the actuator. By calculating its correlation with a mother function, the position of the needle can be obtained. A Kalmen filter is added at the end to compensate discretisation errors. The experimental results with different working speed have validated the proposed sensorless detection method.

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Type
conference paper
DOI
10.23919/ICEMS.2018.8549209
Web of Science ID

WOS:000456286600329

Author(s)
Liu, Xinchang  
Germano, Paolo  
Civet, Yoan  
Perriard, Yves  
Date Issued

2018-01-01

Publisher

IEEE

Publisher place

New York

Published in
2018 21St International Conference On Electrical Machines And Systems (Icems)
ISBN of the book

978-8-9865-1020-1

Series title/Series vol.

International Conference on Electrical Machines and Systems ICEMS

Start page

1761

End page

1765

Subjects

Engineering, Electrical & Electronic

•

Engineering, Mechanical

•

Engineering

•

sensorless

•

reluctance actuator

•

position detection

•

textile machine

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LAI  
Event nameEvent placeEvent date
21st International Conference on Electrical Machines and Systems (ICEMS)

Jeju, SOUTH KOREA

Oct 07-10, 2018

Available on Infoscience
February 5, 2019
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/154347
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