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

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dc.contributor.advisorCheatham, John B., Jr.
dc.creatorWang, Lui
dc.date.accessioned2009-06-03T23:59:17Z
dc.date.available2009-06-03T23:59:17Z
dc.date.issued1995
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.
dc.format.extent153 p.en_US
dc.format.mimetypeapplication/pdf
dc.identifier.callnoTHESIS M.E. 1995 WANG
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>.
dc.identifier.urihttps://hdl.handle.net/1911/14004
dc.language.isoeng
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.
dc.subjectMechanical engineering
dc.subjectElectronics
dc.subjectElectrical engineering
dc.subjectAerospace engineering
dc.subjectArtificial intelligence
dc.titleGenetic algorithm tuning of a fuzzy logic controller for a dynamic system
dc.typeThesis
dc.type.materialText
thesis.degree.departmentMechanical Engineering
thesis.degree.disciplineEngineering
thesis.degree.grantorRice University
thesis.degree.levelMasters
thesis.degree.nameMaster of Science
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