By Topic

Adaptive feedforward control of processes with parameters uncertainty

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

3 Author(s)
Zaher, A. ; Dept. of ESE, Oakland Univ., Rochester, MI, USA ; Zohdy, M. ; Areed, F.

This paper investigates the design of robust controllers for such applications that could be modeled by low order dynamics with uncertainties. Lots of control applications fall into this category such as industrial processes (e.g. level, flow, pressure, etc.) and some automotive applications (e.g. active suspension). The design technique is based on using a combination of state feedback and Lyapunov-based techniques. The proposed controller has the advantage of being applicable to both linear and nonlinear models. The key issue in the design is arriving at the best parameter update law that guarantees both stability and satisfactory transient performance. Trade offs between stability and performances are carefully studied. A simulated level process and one degree of freedom robot arm are used to exemplify the suggested technique. Finally a conclusion is submitted with comments regarding real-time compatibility of the proposed controller.

Published in:

Circuits and Systems, 2003 IEEE 46th Midwest Symposium on  (Volume:3 )

Date of Conference:

27-30 Dec. 2003