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
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;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.862739
