By Topic

Genetic algorithms applied to fuzzy sliding mode controller design

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

4 Author(s)

The drawbacks of sliding mode control in terms of high control gains and chattering are overcome by incorporating fuzzy control to the switching logic. This hybrid system increases the complexity in design and, at present, there exists no effective design tools due to the lack of analytical and numerical approaches. This paper develops an automated design approach to this design problem, using tournament and rank-based genetic algorithms to replace the trial-and-error designs. The method is illustrated through the design of a near-optimal fuzzy-sliding mode controller for a nonlinear liquid-level control system. The control strategy gives a relatively low overshoots with smooth control action and retains robustness of the sliding mode approach

Published in:

Genetic Algorithms in Engineering Systems: Innovations and Applications, 1995. GALESIA. First International Conference on (Conf. Publ. No. 414)

Date of Conference:

12-14 Sep 1995