DocumentCode
623462
Title
Fuzzy control of double inverted pendulum based on the genetic algorithm
Author
Yifan Liu ; Shifeng Zhang
Author_Institution
Sch. of Electr. Eng. & Inf., Anhui Univ. of Technol., Maanshan, China
fYear
2013
fDate
19-21 June 2013
Firstpage
1810
Lastpage
1813
Abstract
This paper describes how to seek the superior in fuzzy controller using the genetic algorithm. Efficiency of fuzzy control depends on several key parameters: membership function, fuzzy control rule and so forth. In this paper a method based on binary-code for parameters of membership function is provided, which only select two parameters of each variables. The result of simulation and real time control experiment show that this method is effective and applicatory.
Keywords
fuzzy control; genetic algorithms; nonlinear control systems; binary-code; double-inverted pendulum; fuzzy control rule; genetic algorithm; membership function; membership function parameters; variable parameter selection; Conferences; Decision support systems; Erbium; Genetic algorithms; Industrial electronics; double inverted pendulum; fusion function; fuzzy control; real-time control;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics and Applications (ICIEA), 2013 8th IEEE Conference on
Conference_Location
Melbourne, VIC
Print_ISBN
978-1-4673-6320-4
Type
conf
DOI
10.1109/ICIEA.2013.6566662
Filename
6566662
Link To Document