By Topic

The online learning of fuzzy controller in pushing system of air-impact molding line

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)
Wang Shiming ; Xi''an Jiaotong Univ., China ; Wang Sun-an ; Li Tianshi

On the basis of analysis with the characteristics of pushing system of air-impact molding line, a new fuzzy control strategy based on the genetic algorithm (GA) and simulated annealing algorithm (SA) was presented. Based on a real run, a judger was used for online learning and testing of fuzzy control rules to determine which to enter into the inference engine, the fuzzy logic controller has been tested in the real plant and results obtained were shown

Published in:

Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on  (Volume:3 )

Date of Conference:

2000