DocumentCode
3024375
Title
Variable Universe Adaptive Fuzzy Control on the Triple Inverted Pendulum and Choosing Contraction-Expansion Factor
Author
Gong Xiaofeng ; Li Hongxing ; Deng Guannan ; Guo Haigang
Author_Institution
Sch. of Electron. & Inf. Eng., Dalian Univ. of Technol., Dalian, China
Volume
4
fYear
2009
fDate
7-8 Nov. 2009
Firstpage
63
Lastpage
67
Abstract
In order to solve the slightly complicated structure and the big calculation of integral variable universe adaptive fuzzy controller, as well as the difficulty to choose the contraction-expansion factor, a weighted sum-type variable universe adaptive fuzzy controller is designed. At the same time the general method on how to choose contraction-expansion factor is given. First, based on weighted sum principle, a weighted sum-type variable universe adaptive fuzzy controller is designed, and then two-type contraction-expansion factors are discussed. Second, according to the different kinds of contraction-expansion factors which have been discussed above, two weighted sum-type variable universe adaptive controllers are designed on the triple inverted pendulum. Finally, the simulation results, which are derived from the triple inverted pendulum under the control of the two controllers respectively, are compared. The simulation results not only illustrate the effectiveness of the weighted sum-type variable universe adaptive fuzzy controller for dealing with nonlinear systems, but also manifest the general method on how to choose contraction-expansion factor is very reasonable.
Keywords
adaptive control; fuzzy control; nonlinear systems; contraction-expansion factor; triple inverted pendulum; variable universe adaptive fuzzy controller; weighted sum principle; Adaptive control; Artificial intelligence; Automatic control; Control systems; Fuzzy control; Fuzzy systems; Mathematical model; Nonlinear control systems; Nonlinear systems; Programmable control; contraction-expansion factor; triple inverted pendulum; weighted sum-type variable universe adaptive fuzzy controller;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-3835-8
Electronic_ISBN
978-0-7695-3816-7
Type
conf
DOI
10.1109/AICI.2009.245
Filename
5376434
Link To Document