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Particle Swarm Optimization Applied to the Design of a Nonlinear Control


Metadata FieldValueLanguage
dc.contributor.advisorHung, John
dc.contributor.advisorHodel, A. Scottedwarden_US
dc.contributor.advisorDenney, Thomasen_US
dc.contributor.authorBroderick, Daviden_US
dc.date.accessioned2008-09-09T21:17:55Z
dc.date.available2008-09-09T21:17:55Z
dc.date.issued2006-05-15en_US
dc.identifier.urihttp://hdl.handle.net/10415/438
dc.description.abstractA method of searching for a tuning of an input to state linearizing controller is presented. The problem of ?nding the appropriate weights of the control law’s terms is treated as an optimization problem. Given the highly nonlinear surfaces that are likely to be searched, particle swarm optimization is applied. The MEMS parallel plate actuator is used to explore the e?ectiveness of this technique. The resulting tuning of the controller is then compared to that of the analytically designed solution.en_US
dc.language.isoen_USen_US
dc.subjectElectrical and Computer Engineeringen_US
dc.titleParticle Swarm Optimization Applied to the Design of a Nonlinear Controlen_US
dc.typeThesisen_US
dc.embargo.lengthNO_RESTRICTIONen_US
dc.embargo.statusNOT_EMBARGOEDen_US

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