Bio-inspired optimization of fuzzy logic controllers for autonomous mobile robots

Ricardo Martinez-Soto, Oscar Castillo, Luis T. Aguilar, Ieroham S. Baruch

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

18 Scopus citations

Abstract

In this paper we propose the use of a hybrid PSO-GA optimization method for automatic design of fuzzy logic controllers (FLC). The optimal fuzzy logic controllers are used for the trajectory tracking control of autonomous mobile robots. The bio-inspired and the evolutionary methods are used to find the parameters of the membership functions of the FLC to obtain the optimal controller. Simulation results are obtained with Simulink showing the feasibility of the proposed approach. A comparison is also made among the proposed Hybrid PSO-GA, GA and PSO to determine if there is a significant difference in the results.

Original languageEnglish
Title of host publication2012 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2012
DOIs
StatePublished - 2012
Event2012 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2012 - Berkeley, CA, United States
Duration: 6 Aug 20128 Aug 2012

Publication series

Name2012 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2012

Conference

Conference2012 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2012
Country/TerritoryUnited States
CityBerkeley, CA
Period6/08/128/08/12

Keywords

  • Autonomous Mobile Robot
  • Fuzzy Logic Controllers
  • Genetic Algorithms
  • Particle Swarm Optimization

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