Comparison and Performance Analysis of Model Predictive Control Developed by Transfer Function Based Model and State Space Based Model for Brushless Doubly Fed Induction Generator

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dc.contributor.authorAl-khamis, Omran Al-abed
dc.contributor.authorGumus, Bilal
dc.date.accessioned2024-04-24T16:10:40Z
dc.date.available2024-04-24T16:10:40Z
dc.date.issued2023
dc.departmentDicle Üniversitesien_US
dc.description.abstractModel predictive control (MPC) is an important control technique for Brushless doubly-fed induction generators (BDFIGs) which are commonly used for wind turbines, and its control performance can be affected by the MPC design. In this study, the performances of the transfer function based model and the state space based model are compared in MPC design for BDFIG. For this purpose, transfer function based model predictive control (TFMPC) and state space based model predictive control (SSMPC) were developed for BDFIG. The vector control of the BDFIG was simulated using the designed MPCs. The simulation results have shown that TFMPC produces better results than SSMPC. Additionally,The simulation results clearly show the effectiveness and good response of TFMPC in both dynamic operation and steady-state operation. TFMPC reduces power ripple and decreases harmonics, resulting in an improvement in the quality of the electrical power generated by the BDFIG. The reference value (set point) was brought closer to the set point with TFMPC, and the duration of the transient condition was also reduced in this system. The study demonstrated that using the transfer function to calculate the parameters of the MPC can eliminate the drawbacks of other design models.en_US
dc.identifier.doi10.1007/s42835-022-01179-z
dc.identifier.endpage121en_US
dc.identifier.issn1975-0102
dc.identifier.issn2093-7423
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85135334602
dc.identifier.scopusqualityQ2
dc.identifier.startpage111en_US
dc.identifier.urihttps://doi.org/10.1007/s42835-022-01179-z
dc.identifier.urihttps://hdl.handle.net/11468/15015
dc.identifier.volume18en_US
dc.identifier.wosWOS:000835597200004
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoenen_US
dc.publisherSpringer Singapore Pte Ltden_US
dc.relation.ispartofJournal of Electrical Engineering & Technology
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBrushless Doubly Fed Induction Generatoren_US
dc.subjectModel Predictive Controlen_US
dc.subjectState Space Model Based Model Predictive Control (Ssmpc)en_US
dc.subjectTransfer Function Model Based Model Predictive Control (Tfmpc)en_US
dc.titleComparison and Performance Analysis of Model Predictive Control Developed by Transfer Function Based Model and State Space Based Model for Brushless Doubly Fed Induction Generatoren_US
dc.titleComparison and Performance Analysis of Model Predictive Control Developed by Transfer Function Based Model and State Space Based Model for Brushless Doubly Fed Induction Generator
dc.typeArticleen_US

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