Title
Sampled-Data Observer Design With Time-Varying Scalar Gain For Sensorless Control Of Induction Motors
Abstract
A sampled-data sensorless observer is proposed for induction motors. A classical high-gain observer is associated with a time-varying gain between two sampling instants. In this paper, we show the interest of the use of a specific time-varying gain for sampled-data observers. This observer especially has to estimate the rotor speed which is the signal to be controlled, and also the flux norm and the load torque when only the stator currents are measured. We show that through some simulations, the good choice of a design parameter allows to improve the performances of the observer or to increase the bound of sampling interval.
Year
DOI
Venue
2017
10.1080/00207179.2016.1215530
INTERNATIONAL JOURNAL OF CONTROL
Keywords
Field
DocType
Induction motor, sensorless observer, sampled-data measurements, time-varying gain, input-to-state stability
State observer,Alpha beta filter,Induction motor,Torque,Control theory,Scalar (physics),Sampling (statistics),Stator,Observer (quantum physics),Mathematics
Journal
Volume
Issue
ISSN
90
4
0020-7179
Citations 
PageRank 
References 
0
0.34
6
Authors
3
Name
Order
Citations
PageRank
J.-F. Massieu100.68
Philippe Dorleans200.34
Vincent Van Assche3547.38