Fitness distance balance-based Runge–Kutta algorithm for indirect rotor field-oriented vector control of three-phase induction motor

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dc.authorscopusid50161147600
dc.contributor.authorDursun, Mustafa
dc.date.accessioned2023-07-26T11:49:57Z
dc.date.available2023-07-26T11:49:57Z
dc.date.issued2023
dc.departmentDÜ, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.description.abstractIn this article, a study has been carried out to further develop the Runge–Kutta (RK) algorithm, which has a current and robust mathematical structure, using the fitness distance balance (FDB) method, and to test it for induction machine control. The RK algorithm was developed to avoid local optimum solutions, speed up convergence, and seek out the best possible solutions globally. Despite offering promising solutions, it is clear that this algorithm has its shortcomings, especially in solving high-dimensional problems like asynchronous motor control. In this study, the FDB method was used to build the guide selection process in the RK algorithm to reach the optimal solution. The developed FDB-based RK algorithm has been tested and verified on the CEC17 benchmark problems for 30-dimensional search spaces. The results of the proposed algorithm have been compared to the performance of the classical RK algorithm, and it shows that the changes in the design of the RK algorithm are successful. The proportional–integral–derivative (PID) parameters employed as a controller in the indirect rotor field-oriented control approach of a three-phase induction motor have then been optimized using the accuracy-proven algorithm. The FDB-RK, RK, genetic algorithm, particle swarm (PSO), differential evolution, artificial bee colony, and weighted average of vectors (INFO) algorithms have been used in this study with three different fitness functions and Wilcoxon and Freidman statistical analyses to find the best values for PID parameters. According to the data, FDB-RK-based PID controller has the best performance among the techniques. © 2023, The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature.en_US
dc.identifier.doi10.1007/s00521-023-08408-0
dc.identifier.issn0941-0643
dc.identifier.scopus2-s2.0-85150267240en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1007/s00521-023-08408-0
dc.identifier.urihttps://hdl.handle.net/20.500.12684/12181
dc.identifier.wosWOS:000952828500002en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorDursun, Mustafa
dc.language.isoenen_US
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.relation.ispartofNeural Computing and Applicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz$2023V1Guncelleme$en_US
dc.subjectFitness distance balanceen_US
dc.subjectIndirect field-oriented controlen_US
dc.subjectOptimizationen_US
dc.subjectPID controlleren_US
dc.subjectRunge–Kuttaen_US
dc.subjectControllersen_US
dc.subjectElectric control equipmenten_US
dc.subjectGenetic algorithmsen_US
dc.subjectInduction motorsen_US
dc.subjectParticle swarm optimization (PSO)en_US
dc.subjectProportional control systemsen_US
dc.subjectRobust controlen_US
dc.subjectStatistical methodsen_US
dc.subjectVector control (Electric machinery)en_US
dc.subjectBalance methodsen_US
dc.subjectDistance balanceen_US
dc.subjectFitness distance balanceen_US
dc.subjectIndirect field oriented controlen_US
dc.subjectOptimisationsen_US
dc.subjectPerformanceen_US
dc.subjectProportional-integral-derivatives controllersen_US
dc.subjectRunge-Kutta algorithmsen_US
dc.subjectRunge–kuttumen_US
dc.subjectThree phase induction motoren_US
dc.subjectThree term control systemsen_US
dc.titleFitness distance balance-based Runge–Kutta algorithm for indirect rotor field-oriented vector control of three-phase induction motoren_US
dc.typeArticleen_US

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