Cart (Loading....) | Create Account
Close category search window

A reduced order rotor time constant and flux estimator for vector controlled induction motor

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

3 Author(s)
Aksoy, S. ; Dept. of Electr. & Electron. Eng., Karadeniz Tech. Univ., Trabzon, Turkey ; Altas, I.H. ; Eker, M.K.

A reduced order estimation algorithm for on-line identification of rotor time constant and rotor flux of an induction motor is proposed in this paper. The algorithm is based on the measurement of stator voltage, current and rotor speed, and uses an extended Kalman filtering technique. The covariance matrices of noise, which are important in Kalman filtering, are established using a simple and practical method that is proposed here. A squirrel-cage induction machine is fed from a six step PWM inverter, and from a sinusoidal source at different times in order to observe the performance of the proposed estimator for different operation conditions. Both simulation and implementation results showed that the proposed algorithm can be used successfully to identify the rotor time constant and rotor flux of induction machines

Published in:

Electrotechnical Conference, 1996. MELECON '96., 8th Mediterranean  (Volume:1 )

Date of Conference:

13-16 May 1996

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 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.