By Topic

A Luenberger-Sliding Mode Observer for On-line Parameter Estimation and Adaptation in High-Performance Induction Motor 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
$33 $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

2 Author(s)
S. M. Nayeem Hasan ; Department of Electrical & Computer Engineering, The University of Akron, Akron, OH 44325-3904 ; Iqbal Husain

The performance and efficiency of an induction motor drive system can be enhanced by on-line estimation of the critical parameters, such as the rotor time constant and stator resistance. A novel Luenberger-sliding mode observer with parameter adaptation algorithm is proposed in this paper to compensate for the parameter variation effects. The observer is simple and robust when compared with the previously developed observers, and hence, suitable for on-line implementation. An FPGA based controller has been implemented, and demonstrated using hardwire-in-the-loop (HIL) simulation setup

Published in:

Conference Record of the 2006 IEEE Industry Applications Conference Forty-First IAS Annual Meeting  (Volume:5 )

Date of Conference:

8-12 Oct. 2006