DocumentCode
735921
Title
Fuzzy controller parameters optimization by using genetic algorithm for the control of inverted pendulum
Author
Saidi, Khayreddine ; Allad, Mourad
Author_Institution
Fac. of Inf. & Electr. Eng., Mouloud Mammeri Univ., Tizi Ouzou, Algeria
fYear
2015
fDate
25-27 May 2015
Firstpage
1
Lastpage
6
Abstract
In this paper, hybridization between two artificial intelligence techniques is proposed for the control of inverted pendulum. The controller combines a genetic algorithms technique optimization with fuzzy logic controller. We employ this procedure in a genetic algorithm (GA) to search for the optimal parameters (gains) of fuzzy logic controller. Numerical simulations verify the validity of the proposed control strategy.
Keywords
fuzzy control; genetic algorithms; nonlinear control systems; pendulums; artificial intelligence techniques; fuzzy controller parameter optimization; genetic algorithm; inverted pendulum; Biological cells; Encoding; Genetic algorithms; Genetics; Optimization; Sociology; Statistics; chromosome; fuzzy logic controller; generation; genetic algorithm; inverted pendulum; optimization; population;
fLanguage
English
Publisher
ieee
Conference_Titel
Control, Engineering & Information Technology (CEIT), 2015 3rd International Conference on
Conference_Location
Tlemcen
Type
conf
DOI
10.1109/CEIT.2015.7233020
Filename
7233020
Link To Document