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dc.contributor.authorAli İhsan Çanakoğlu
dc.contributor.authorAsım Gökhan Yetgin
dc.contributor.authorHasan Temurtaş
dc.contributor.authorMustafa Turan
dc.date.accessioned13.07.201910:49:13
dc.date.accessioned2019-07-13T16:30:59Z
dc.date.available13.07.201910:49:13
dc.date.available2019-07-13T16:30:59Z
dc.date.issued2014
dc.identifier.issn1300-0632
dc.identifier.urihttps://trdizin.gov.tr/publication/paper/detail/TWpFME1EVTRPQT09
dc.identifier.urihttps://hdl.handle.net/20.500.12438/1391
dc.description.abstractThe steady-state equivalent circuit parameters of an induction motor can be estimated using the operation characteristics that are provided by manufacturers. The characteristics of the motor used in estimation methods are the starting, maximum, and nominal torque values; the power factor; and efficiency. The operation characteristics of a motor given in data sheets are generally based on design parameters and are not suitable with real values. For this reason, in this paper, the data used in the parameter estimation for induction motors are taken from the literature. Using an optimization method for parameter estimation is useful for comparing the manufacturer values and values at the end of estimation, as well as minimizing the error in between. There are many methods in the literature for the parameter estimation of induction motors. In this study, the estimation is made using the charged system search (CSS), differential evolution algorithm (DEA), particle swarm optimization, and genetic algorithm optimization techniques. The CSS algorithm is first applied for estimation of the parameters of an induction motor. The results obtained from all of the methods show that the CSS algorithm is suitable with the DEA. From the obtained results, it is understood that an exact approach can be made to equivalent circuit parameters in case the values given by the manufacturer model the motor properly.en_US
dc.description.abstractThe steady-state equivalent circuit parameters of an induction motor can be estimated using the operation characteristics that are provided by manufacturers. The characteristics of the motor used in estimation methods are the starting, maximum, and nominal torque values; the power factor; and efficiency. The operation characteristics of a motor given in data sheets are generally based on design parameters and are not suitable with real values. For this reason, in this paper, the data used in the parameter estimation for induction motors are taken from the literature. Using an optimization method for parameter estimation is useful for comparing the manufacturer values and values at the end of estimation, as well as minimizing the error in between. There are many methods in the literature for the parameter estimation of induction motors. In this study, the estimation is made using the charged system search (CSS), differential evolution algorithm (DEA), particle swarm optimization, and genetic algorithm optimization techniques. The CSS algorithm is first applied for estimation of the parameters of an induction motor. The results obtained from all of the methods show that the CSS algorithm is suitable with the DEA. From the obtained results, it is understood that an exact approach can be made to equivalent circuit parameters in case the values given by the manufacturer model the motor properly.en_US
dc.language.isoengen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectMühendisliken_US
dc.subjectElektrik ve Elektroniken_US
dc.titleInduction motor parameter estimation using metaheuristic methodsen_US
dc.typearticleen_US
dc.relation.journalTurkish Journal of Electrical Engineering and Computer Sciencesen_US
dc.departmentKütahya Dumlupınar Üniversitesien_US
dc.identifier.volume22en_US
dc.identifier.issue5en_US
dc.identifier.startpage1177en_US
dc.identifier.endpage1192en_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US]


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