Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/1607
| Title: | Sensorless control scheme for continuously estimating rotor position and speed of switched reluctance motor drives based on two-dimensional least squares | Authors: | Xue, X Cheng, KWE Ho, SL |
Issue Date: | 2004 | Source: | 2004 1st International Conference on Power Electronics Systems and Applications proceedings : 9 to 11 November 2004, Hong Kong, p. 183-187 | Abstract: | This study presents a control scheme to continuously estimate the rotor position and speed of sensorless switched reluctance motor (SRM) drives. The estimation model is based on the two-dimensional (2D) least squares technique. For the proposed estimation scheme, only the rotor position to the optimal sensing phase being the active phase via measuring the current and the voltage is estimated. Furthermore, the position correction algorithm is proposed, which can be used to eliminate the fatal effect of the unexpected interface errors in the voltage or current measurement on the rotor position estimation. Because the presented scheme includes the estimation model based on the 2D least squares optimization technique, optimal sensing phase approach, and position correction algorithm, the high resolution of the rotor position estimation can be obtained. The simulation results under the current hysteresis and voltage single-pulse operations validated the proposed sensorless control scheme. | Keywords: | Angular velocity control Electric current measurement Least squares approximations Machine control Optimisation Position control Reluctance motor drives Rotors Voltage measurement |
Publisher: | Power Electronics Research Centre, The Hong Kong Polytechnic University | ISBN: | 9623674341 | Rights: | Copyright © The Hong Kong Polytechnic University 2004. |
| Appears in Collections: | Conference Paper |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ICPESA_2004_183-187.pdf | 452.05 kB | Adobe PDF | View/Open |
Access
View full-text via PolyU eLinks 
Page views
45
Last Week
0
0
Last month
Citations as of Jun 4, 2023
Downloads
72
Citations as of Jun 4, 2023
SCOPUSTM
Citations
5
Last Week
0
0
Last month
0
0
Citations as of Jun 8, 2023
WEB OF SCIENCETM
Citations
4
Last Week
0
0
Last month
0
0
Citations as of Jun 8, 2023
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.