DocumentCode
3386115
Title
OGY control fuzzification of tow-link rigid robot arm
Author
Zanjani, Shima Alizadeh ; Jafari, Amir Homayoun ; Nasrabadi, Ali Motie
Author_Institution
Electron. Eng. Dept., Islamic Azad Univ., Tehran, Iran
Volume
2
fYear
2009
fDate
28-29 Nov. 2009
Firstpage
405
Lastpage
408
Abstract
In this article, we proposed an OGY controller which have been progressed with some fuzzy rules definition and applied for two-link rigid robot arm. By applying a proper input this robot arm could be in a chaotic space. To obtain a complete database, the input amplitude is varied in chaotic range, afterward the unstable period orbits (UPOs) of the plant, by using the Poincare map, and the convenient gains, are found. To achieve the fuzzy set, maximum changed value of UPOs, which can be controlled with the computed gains, are obtained. So, we have a lot of fuzzy regions a round of UPOs with the definite controlling rules. These regions should be overlapped and covered all spaces between two nearer fixed-points. By this way, the system could be controlled by routing the best path with considering the lowest consumption through the UPOs.
Keywords
Poincare mapping; fuzzy control; fuzzy set theory; nonlinear control systems; robots; OGY control fuzzification; Poincare map; chaotic control; chaotic range; fuzzy control; fuzzy region; fuzzy rule; fuzzy set; optimum routing; tow-link rigid robot arm; unstable period orbits; Artificial neural networks; Feature extraction; Field programmable gate arrays; Handwriting recognition; Hardware; Multilayer perceptrons; Neural networks; Optical character recognition software; Pattern recognition; Robots; Poincare map; chaotic control; fuzzy control; optimum routing; two-link rigid robot;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Industrial Applications, 2009. PACIIA 2009. Asia-Pacific Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4606-3
Type
conf
DOI
10.1109/PACIIA.2009.5406573
Filename
5406573
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