Optimal tuning of PI speed controller coefficients for electric drives using neural network and genetic algorithms

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dc.contributor.authorUstun, SV
dc.contributor.authorDemirtas, M
dc.date.accessioned2024-04-24T15:59:48Z
dc.date.available2024-04-24T15:59:48Z
dc.date.issued2005
dc.departmentDicle Üniversitesien_US
dc.description.abstractThis paper presents a method of tuning Proportional Integral (PI) controller coefficients in the off-line control of a nonlinear system. In this method, the first step is the identification of the system via Artificial Neural Networks (ANNs), using maximum overshoot and settling time obtained from the application circuit for different K-p-K-i pairs. With this in mind, multi-layer ANN, which uses back-propagation of the error algorithm, was used as the learning algorithm. In the second step, the purpose is to find the optimum controller coefficients using the ANN model as the objective function via Genetic Algorithms (GAs). A Digital Signal Processor (DSP-TMS320C50) was used to carry out control applications. The C++ language was used for ANN and GA, and and the Assembly language was used for the DSP. It is determined that maximum overshoot and settling time are very small if the system is controlled by control parameters obtained from the optimization process that uses GA.en_US
dc.identifier.doi10.1007/s00202-003-0221-3
dc.identifier.endpage82en_US
dc.identifier.issn0948-7921
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-12344308259
dc.identifier.scopusqualityQ2
dc.identifier.startpage77en_US
dc.identifier.urihttps://doi.org/10.1007/s00202-003-0221-3
dc.identifier.urihttps://hdl.handle.net/11468/14259
dc.identifier.volume87en_US
dc.identifier.wosWOS:000226302600003
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofElectrical Engineering
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectNeural Networken_US
dc.subjectGenetic Algorithmsen_US
dc.subjectOptimizationen_US
dc.titleOptimal tuning of PI speed controller coefficients for electric drives using neural network and genetic algorithmsen_US
dc.titleOptimal tuning of PI speed controller coefficients for electric drives using neural network and genetic algorithms
dc.typeArticleen_US

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