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

An adaptive speed observer based on a new total least-squares neuron for induction machine drives

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

4 Author(s)
Cirrincione, M. ; Inst. on Intelligent Syst. for Autom., I.S.S.I.A.-C.N.R, Palermo, Italy ; Pucci, M. ; Cirrincione, G. ; Capolino, G.-A.

This paper proposes a new observer that computes the rotor speed of an induction motor by employing on-line a least-square algorithm implemented by an original neuron (total least squares (TLS) EXIN). It minimizes the estimation error from the equation of the Luenberger observer considering the rotor flux linkage estimation uncertainty. Experimental results show the goodness of this algorithm that outperforms the Matsuse observer in speed estimation accuracy at very low speed and zero-speed operations at no-load and at load. Moreover, it has been verified both numerically and experimentally that this observer works properly even at very low speeds in regenerating mode without any instability.

Published in:

Industry Applications, IEEE Transactions on  (Volume:42 ,  Issue: 1 )

Date of Publication:

Jan.-Feb. 2006

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.