IEEE.org| IEEE Xplore Digital Library| IEEE Standards| IEEE Spectrum| More Sites

Cart (Loading....) | Create Account | 

Close category search window
Author Searchbeta |  Advanced Search  |  Preferences |  Search Tips  |  More Search Options  
 
Browse Conference Publications > Informatics in Control, Autom ... Help

Rotor position estimation method of permanent magnet synchronous motor based on high frequency signal injection and sliding mode observer

Full Text Sign-In or Purchase

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing! close button
puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Hui Wang ; Mech. Eng. Sch., Univ. of Sci. & Technol. Beijing, Beijing, China ; Changsong Wang ; Yafeng Deng ; Zhiyu Wang
more authors

In the motion control of the sensorless permanent magnet synchronous motor system, the accurate detection of the rotor position at low or zero speed can improve control precision and enhance reliability. In this paper, a sliding mode observer is proposed based on the high frequency signal injection to estimate rotor position of the sensorless permanent magnet synchronous motor. Simulation results verify this sliding mode observer with good dynamic performance and strong robustness can accurately track the rotor position.

Published in:
Informatics in Control, Automation and Robotics (CAR), 2010 2nd International Asia Conference on  (Volume:1 )

Date of Conference: 6-7 March 2010

Page(s):
392 - 395
ISSN :
1948-3414
E-ISBN :
978-1-4244-5194-4
Print ISBN:
978-1-4244-5192-0
INSPEC Accession Number:
11262825
Conference Location :
Wuhan
Digital Object Identifier :
10.1109/CAR.2010.5456815

IEEE Account

Purchase Details

Profile Information

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.