Finite control set model predictive control approach of nine switch inverter-based drive systems: Design, analysis, and validation
dc.authorid | gulbudak, ozan/0000-0001-9517-3630 | |
dc.contributor.author | Gulbudak, Ozan | |
dc.contributor.author | Gokdag, Mustafa | |
dc.date.accessioned | 2024-09-29T15:57:23Z | |
dc.date.available | 2024-09-29T15:57:23Z | |
dc.date.issued | 2021 | |
dc.department | Karabük Üniversitesi | en_US |
dc.description.abstract | This paper describes a model predictive control method for Nine-Switch Inverter (NSI)-based AC drive systems. Two separate three-phase AC loads (dual-output mode operation) or a single six-phase load (six-phase mode operation) can be connected to output terminals of an NSI. Three different Finite Control Set Model Predictive Control (FCS-MPC) strategies are presented and described. Firstly, dual-output mode FCS-MPC provides flexible control of detached load stages without any undesirable interaction. When disseminated loads are needed to be controlled, the output terminals of NSI are individually connected to separate load stages. Secondly, six-phase mode FCS-MPC provides robust control of six-phase load current. Thirdly, the predictive control scheme for controlling multiple induction machines is presented. Experimental and simulation tests have demonstrated that the proposed method exhibits a secured converter operation. The proposed predictive control strategies of Nine-Switch Inverter are accomplished using a Field Programmable Gate Arrays (FPGA). (C) 2020 ISA. Published by Elsevier Ltd. All rights reserved. | en_US |
dc.description.sponsorship | Scientific and Technological Research Council of Turkey (TUBITAK) [117E769] | en_US |
dc.description.sponsorship | This work was supported by The Scientific and Technological Research Council of Turkey (TUBITAK) under Grant 117E769. | en_US |
dc.identifier.doi | 10.1016/j.isatra.2020.10.037 | |
dc.identifier.endpage | 304 | en_US |
dc.identifier.issn | 0019-0578 | |
dc.identifier.issn | 1879-2022 | |
dc.identifier.pmid | 33097220 | en_US |
dc.identifier.scopus | 2-s2.0-85093653780 | en_US |
dc.identifier.scopusquality | Q1 | en_US |
dc.identifier.startpage | 283 | en_US |
dc.identifier.uri | https://doi.org/10.1016/j.isatra.2020.10.037 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14619/4784 | |
dc.identifier.volume | 110 | en_US |
dc.identifier.wos | WOS:000631642800002 | en_US |
dc.identifier.wosquality | Q1 | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.indekslendigikaynak | PubMed | en_US |
dc.language.iso | en | en_US |
dc.publisher | Elsevier Science Inc | en_US |
dc.relation.ispartof | Isa Transactions | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Nine-switch inverter | en_US |
dc.subject | Model predictive control | en_US |
dc.subject | Optimal control | en_US |
dc.subject | FPGA | en_US |
dc.subject | Multi-step MPC | en_US |
dc.subject | Digital control | en_US |
dc.title | Finite control set model predictive control approach of nine switch inverter-based drive systems: Design, analysis, and validation | en_US |
dc.type | Article | en_US |