The Effect of Different Decision-Making Methods on Multi-Objective Optimisation of Predictive Torque Control Strategy

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dc.authoridZerdali, Emrah/0000-0003-1755-0327
dc.contributor.authorGurel, Aycan
dc.contributor.authorZerdali, Emrah
dc.date.accessioned2024-11-07T13:31:33Z
dc.date.available2024-11-07T13:31:33Z
dc.date.issued2021
dc.departmentNiğde Ömer Halisdemir Üniversitesi
dc.description.abstractToday, a clear trend in electrification process has emerged in all areas to cope with carbon emissions. For this purpose, the widespread use of electric cars and wind energy conversion systems has increased the attention and importance of electric machines. To overcome limitations in mature control techniques, model predictive control (MPC) strategies have been proposed. Of these strategies, predictive torque control (PTC) has been well accepted in the control of electric machines. However, it suffers from the selection of weighting factors in the cost function. In this paper, the weighting factor associated with the flux error term is optimised by the non-dominated sorting genetic algorithm (NSGA-II) algorithm through torque and flux errors. The NSGA-II algorithm generates a set of optimal solutions called Pareto front solutions, and a possible solution must be selected from among the Pareto front solutions for use in the PTC strategy. Unlike the current literature, three decision-making methods are applied to the Pareto front solutions and the weighting factors selected by each method are tested under different operating conditions in terms of torque ripples, flux ripples, cur-rent harmonics and average switching frequencies. Finally, a decision-making method is recommended.
dc.identifier.doi10.2478/pead-2021-0018
dc.identifier.endpage300
dc.identifier.issn2451-0262
dc.identifier.issn2543-4292
dc.identifier.issue1
dc.identifier.startpage289
dc.identifier.urihttps://doi.org/10.2478/pead-2021-0018
dc.identifier.urihttps://hdl.handle.net/11480/14915
dc.identifier.volume6
dc.identifier.wosWOS:001083495800019
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.language.isoen
dc.publisherSciendo
dc.relation.ispartofPower Electronics and Drives
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241106
dc.subjectpredictive torque control
dc.subjectinduction motor
dc.subjectmulti-objective optimisation
dc.subjectdecision-making method
dc.titleThe Effect of Different Decision-Making Methods on Multi-Objective Optimisation of Predictive Torque Control Strategy
dc.typeArticle

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