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
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;
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2013 8th IEEE Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4673-6320-4
DOI :
10.1109/ICIEA.2013.6566662
