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

Variable-structure control for a linear synchronous motor using a recurrent fuzzy neural network

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 $31
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)
Lin, F.-J. ; Dept. of Electr. Eng., Nat. Dong Hwa Univ., Hualien, Taiwan ; Lin, C.-H. ; Shen, P.-H.

A variable-structure controller, using a recurrent fuzzy neural network (RFNN) to control the mover position of a permanent-magnet linear synchronous motor (PMLSM) servo drive is developed. A variable-structure adaptive (VSA) controller is first adopted to control the mover position of the PMLSM, where a simple adaptive algorithm is utilised to estimate the uncertainty bounds. Then, to further improve the rate of convergence of the estimation, a variable-structure controller using an RFNN is investigated, in which the RFNN is utilised to estimate the real-time lumped uncertainty. Simulated and experimental results show that the proposed variable-structure controller using an RFNN provides high-performance dynamic characteristics and is robust with regard to plant-parameter variations and external disturbance. Furthermore, comparing with the VSA controller, a smaller control effort is required and the chattering phenomenon is reduced by the proposed variable-structure controller using an RFNN.

Published in:

Control Theory and Applications, IEE Proceedings -  (Volume:151 ,  Issue: 4 )

Date of Publication:

24 July 2004

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.