By Topic

Automatic Design of QFT Robust Controller Based on Genetic Algorithms

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)
Qingwei Wang ; Sch. of Autom. Sci. & Electr. Eng., Beijing Univ. of Aeronaut. & Astronaut. ; Zhenghua Liu ; Lianjie Er

QFT can provide robust control for the plant with large uncertainties. Since the manual design with the help of QFT box in Matlab is complicated and even unsolvable and the existed automatic design methods are limited in optimization, based on the genetic algorithms, a more effective automatic design methodology of QFT robust controller is proposed. Some new optimization indexes are adopted, so the design method is more mature. Comparing with the results from the manual design and other automatic design methods, the performance of the QFT controller based on genetic algorithms is the best. It is an automatic and optimal design method for QFT robust controller. This method is effective, successful and applicable

Published in:

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on  (Volume:1 )

Date of Conference:

0-0 0