DocumentCode :
2030533
Title :
Particle swarm optimization based scaling factor tuning for 3-D fuzzy logic controller
Author :
Qin, Jing-jing ; Zhang, Xian-Xia ; Cao, Gui-tao
Author_Institution :
Shanghai Key Lab. of Power Station Autom. Technol., Shanghai Univ., Shanghai, China
Volume :
2
fYear :
2010
fDate :
10-12 Aug. 2010
Firstpage :
711
Lastpage :
715
Abstract :
Three-dimensional fuzzy logic controller (3-D FLC) is a new FLC which was developed recently for spatially-distributed systems. In this paper, the scaling factor tuning of 3-D FLC is considered. The particle swarm optimization algorithm is used to adjust the scaling factors by using spatial performance criterion. A catalytic packed-bed reactor is presented as an example to demonstrate the effectiveness of the proposed method. The simulation results show that the system has a better performance by using proposed method.
Keywords :
chemical reactors; distributed control; fuzzy control; fuzzy set theory; particle swarm optimisation; scaling phenomena; tuning; 3-D FLC; 3D fuzzy logic controller; catalytic packed bed reactor; particle swarm optimization; scaling factor tuning; spatial performance criterion; spatially distributed system; three dimensional fuzzy logic controller; Artificial neural networks; Fuzzy logic; Inductors; Particle swarm optimization; Sensors; Steady-state; Tuning; 3-D fuzzy logic control; 3-D fuzzy set; particle swarm optimization; scaling factors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5931-5
Type :
conf
DOI :
10.1109/FSKD.2010.5569388
Filename :
5569388
Link To Document :
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