DocumentCode :
2567534
Title :
Parameter tuning of membership functions of a type-1 and type-2 fuzzy logic controller for an autonomous wheeled mobile robot using ant colony optimization
Author :
Martínez-Marroquín, R. ; Castillo, O. ; Soria, J.
Author_Institution :
Div. of Grad. Studies & Res., Tijuana Inst. of Technol., Tijuana, Mexico
fYear :
2009
fDate :
11-14 Oct. 2009
Firstpage :
4770
Lastpage :
4775
Abstract :
In this paper we describe the application of a Simple ACO (S-ACO) as an optimization method for the membership functions´ parameters of a fuzzy logic controller (FLC) in order to find the optimal intelligent controller for an autonomous wheeled mobile robot. Simulation results show that ACO outperforms a GA in the optimization of FLCs for an autonomous mobile robot.
Keywords :
fuzzy control; intelligent control; mobile robots; optimal control; optimisation; wheels; ant colony optimization; autonomous wheeled mobile robot; membership function; optimal intelligent controller; parameter tuning; type-1fuzzy logic controller; type-2 fuzzy logic controller; Ant colony optimization; Competitive intelligence; Control systems; Fuzzy logic; Fuzzy systems; Intelligent robots; Mobile robots; Optimal control; Optimization methods; Particle swarm optimization; Intelligent control; Mobile robots; Optimization; Swarm Intelligence; fuzzy logic;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
Conference_Location :
San Antonio, TX
ISSN :
1062-922X
Print_ISBN :
978-1-4244-2793-2
Electronic_ISBN :
1062-922X
Type :
conf
DOI :
10.1109/ICSMC.2009.5346080
Filename :
5346080
Link To Document :
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