Genetic algorithm tuning of a fuzzy logic controller for a dynamic system

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dc.contributor.advisorCheatham, John B., Jr.en_US
dc.creatorWang, Luien_US
dc.date.accessioned2009-06-03T23:59:17Zen_US
dc.date.available2009-06-03T23:59:17Zen_US
dc.date.issued1995en_US
dc.description.abstractThis thesis describes the use of the genetic algorithm to facilitate the design process of a fuzzy logic based controller. The basic mechanics of both the fuzzy logic control system and the genetic algorithm are presented for establishing the foundation of this research. A detailed design process to integrate the fuzzy logic controller and the genetic algorithm is disclosed. Software is developed to simulate the dynamics of a two-link planar manipulator, and a multiple-link fuzzy logic control (MLFLC) system is developed to control a non-linear robotics system. In this work, the genetic algorithm technique is used to design both the Universe of Discourse of some of the control variables and also the shape and location of membership functions. As a result, the system is able to maintain control with moderate errors. The most important contribution of this work is that it demonstrates the effectiveness of using genetic algorithms to optimize fuzzy logic control systems.en_US
dc.format.extent153 p.en_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.callnoTHESIS M.E. 1995 WANGen_US
dc.identifier.citationWang, Lui. "Genetic algorithm tuning of a fuzzy logic controller for a dynamic system." (1995) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/14004">https://hdl.handle.net/1911/14004</a>.en_US
dc.identifier.urihttps://hdl.handle.net/1911/14004en_US
dc.language.isoengen_US
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.subjectMechanical engineeringen_US
dc.subjectElectronicsen_US
dc.subjectElectrical engineeringen_US
dc.subjectAerospace engineeringen_US
dc.subjectArtificial intelligenceen_US
dc.titleGenetic algorithm tuning of a fuzzy logic controller for a dynamic systemen_US
dc.typeThesisen_US
dc.type.materialTexten_US
thesis.degree.departmentMechanical Engineeringen_US
thesis.degree.disciplineEngineeringen_US
thesis.degree.grantorRice Universityen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Scienceen_US
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