Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-15810-0_42
Title: PSO-optimized fuzzy logic controller for a single wheel robot
Authors: Al-Mamun, A. 
Zhu, Z.
Keywords: Fuzzy logic controller
Particle Swarm Optimization (PSO)
Single wheel robot
Issue Date: 2010
Source: Al-Mamun, A.,Zhu, Z. (2010). PSO-optimized fuzzy logic controller for a single wheel robot. Communications in Computer and Information Science 103 CCIS : 330-337. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-642-15810-0_42
Abstract: A fuzzy logic controller (FLC) for steering control of a single wheel robot with fuzzy membership functions optimized using particle swarm optimization (PSO) is presented in this paper. The single wheel robot is statically unstable and has nonlinear dynamics when it is in motion. Design of a linear controller is anything but straightforward. At an earlier stage of development, the wheel was controlled manually using remote control console. That experience is transformed into a linguistic based control, e.g., FLC. However, the issue of selecting various functions and parameters for FLC still remains to be resolved. In this work, Particle Swarm Optimization (PSO) is used to optimize the membership functions of the FLC. © 2010 Springer-Verlag.
Source Title: Communications in Computer and Information Science
URI: http://scholarbank.nus.edu.sg/handle/10635/71523
ISBN: 3642158099
ISSN: 18650929
DOI: 10.1007/978-3-642-15810-0_42
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