DocumentCode :
1752931
Title :
Design of Multivariable Self-Organizing Fuzzy Decoupling Controller Based on Neural-Network
Author :
Zhang, Zhijun ; Yu, Haichen
Author_Institution :
Sch. of Electron. & Inf. Eng., Dalian Univ. of Technol.
Volume :
1
fYear :
0
fDate :
0-0 0
Firstpage :
3882
Lastpage :
3885
Abstract :
To solve problems of multivariable decoupling controller structure complex and difficult to determine, and training times long etc in the absence of a prior knowledge, A new neural work structure - self-organizing fuzzy controller and on-line algorithm - is proposed. The controller is constituted by three-layer RBF neural network. Dynamical structure training based on error criterion and new adding technique can start with zero or single rule, network structure i.e. fuzzy rule is expend and optimized, the method is very simple and the calculating amounts is reduced. The parameters i.e. membership function is self-adjusting by gradient descent. The controller are optimized by on-line updating learning. The proposed control scheme is used with design of multivariable fuzzy decoupling controller for distillation column. Simulation result shows the proposed method is effective, the convergence of trajectory is quicken, the performance of system is obviously improved
Keywords :
control system synthesis; fuzzy control; gradient methods; learning (artificial intelligence); multivariable control systems; radial basis function networks; self-adjusting systems; RBF neural network; fuzzy rule; gradient descent; membership function; multivariable selforganizing fuzzy decoupling controller; online algorithm; online updating learning; Automation; Convergence; Distillation equipment; Fuzzy control; Fuzzy systems; Intelligent control; Knowledge engineering; Neural networks; Optimization methods; decoupling; fuzzy control; multivariable; neural network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
Type :
conf
DOI :
10.1109/WCICA.2006.1713099
Filename :
1713099
Link To Document :
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