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

Adaptive real-time tracking controller for induction motor drives using neural designs

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

2 Author(s)
Rubaai, A. ; Howard Univ., Washington, DC, USA ; Kankam, D.M.

This paper presents a learning architecture for the identification and control of nonlinear induction motor dynamics with unknown parameters. The control and identification parameters are adjusted simultaneously in real-time using the dynamic backpropagation algorithm. Both identification and control are carried out at pre-specified (and possibly different) time intervals, as the system is in operation. The proposed architecture adapts and generalizes its learning to a wide variety of loads, and in addition provides the necessary abstraction when measurements are contaminated with noise. Extensive simulations reveal that neural designs are effective means of system identification and control for time-varying nonlinear systems, in the presence of uncertainty. The difficulties addressed by this article include incomplete system knowledge, nonlinearity, noise and delays

Published in:

Industry Applications Conference, 1996. Thirty-First IAS Annual Meeting, IAS '96., Conference Record of the 1996 IEEE  (Volume:3 )

Date of Conference:

6-10 Oct 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.