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

Stochastic Robustness Controller Design upon Different Ranking Criteria

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)
Hao Wu ; Dept. of Thermal Eng., Tsinghua Univ., Beijing ; Yali Xue ; Tingjin Ren

In order to evaluate the robustness performance of process control system with uncertainties, four quantified stochastic robustness indices are introduced upon some typical stochastic variable ranking criteria. Based on them, four kinds of stochastic robust controller optimization problems are presented to meet the system requirements. To solve the multi-objective stochastic programming problems, NSGA-II algorithm combined with Monte-Carlo experiments are utilized to obtain the Pareto robustness solutions. The methods are applied to a steam-turbine generator set control system design. The simulation results demonstrate better robustness performance compared with those obtained under nominal parameter condition. Further more, detailed comparison among the four methods reveals their unique character, in which pessimistic value criterion method is considered to be relatively the best.

Published in:

Advanced Computer Control, 2009. ICACC '09. International Conference on

Date of Conference:

22-24 Jan. 2009

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.