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

Internal Model Based Iterative Learning Control for Linear Motor Motion Systems

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)
Liping Fan ; Sch. of Inf. Eng., Shenyang Inst. of Chem. Technol. ; Xiyang Wang

Nonlinear disturbances are the main reasons why the linear motor motion systems can not reach high tracking accuracy. Combining iterative learning control (ILC) with internal model control (IMC), an internal model based iterative learning controller is proposed for linear motor motion systems, which is inherently repetitive in terms of motion trajectories. The ILC is used to increase the tracking accuracy. The IMC part guarantees robust performance. Simulation results show that the IMC based iterative learning control scheme can guarantee robust performance and high tracking accuracy simultaneously

Published in:

Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on  (Volume:3 )

Date of Conference:

16-18 Oct. 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.