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

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.


Published in:
2018 21St International Conference On Electrical Machines And Systems (Icems), 1761-1765
Presented at:
21st International Conference on Electrical Machines and Systems (ICEMS), Jeju, SOUTH KOREA, Oct 07-10, 2018
Year:
Jan 01 2018
Publisher:
New York, IEEE
ISBN:
978-8-9865-1020-1
Keywords:
Laboratories:




 Record created 2019-02-05, last modified 2020-04-20


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