DocumentCode
353984
Title
The online learning of fuzzy controller in pushing system of air-impact molding line
Author
Shiming, Wang ; Wang Sun-an ; Tianshi, Li
Author_Institution
Xi´´an Jiaotong Univ., China
Volume
3
fYear
2000
fDate
2000
Firstpage
1607
Abstract
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
Keywords
fuzzy control; genetic algorithms; inference mechanisms; learning (artificial intelligence); moulding; optimal control; process control; simulated annealing; GA; SA; air-impact molding line; fuzzy controller; genetic algorithm; inference engine; online learning; pushing system; simulated annealing algorithm; Algorithm design and analysis; Analytical models; Control systems; Engines; Fuzzy control; Fuzzy systems; Genetic algorithms; Inference algorithms; Logic testing; Simulated annealing;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location
Hefei
Print_ISBN
0-7803-5995-X
Type
conf
DOI
10.1109/WCICA.2000.862739
Filename
862739
Link To Document