DocumentCode
577555
Title
Fuzzy control strategy based on the particle swarm optimization algorithms
Author
Han Shaoze
Author_Institution
Wuhan Digital Eng. Inst., Wuhan, China
fYear
2012
fDate
6-8 July 2012
Firstpage
57
Lastpage
60
Abstract
The designer´s experience determines the parameters setting of Fuzzy controller, a new fuzzy control method based on the modified PSO algorithms is proposed in this paper. Besides, with this method, the application of the fuzzy controller in heat-setting machine is studied by simulation and good results have been obtained. A comparison with conventional PID control approaches widely used in the plant is performed.
Keywords
fuzzy control; heat systems; particle swarm optimisation; three-term control; PSO algorithms; conventional PID control approach; fuzzy control strategy; heat-setting machine; particle swarm optimization algorithms; Algorithm design and analysis; Automation; Fuzzy control; Heating; Intelligent control; PD control; Particle swarm optimization; fabric heat-setting machine; fuzzy control; particle swarm optimization; temperature control;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location
Beijing
Print_ISBN
978-1-4673-1397-1
Type
conf
DOI
10.1109/WCICA.2012.6357839
Filename
6357839
Link To Document