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An improved finite-set model predictive current control for 3L-HANPC inverter fed PMSM drives
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Publication Year
2019-05-01
Journal
ITEC Asia-Pacific 2019 - 2019 IEEE Transportation Electrification Conference and Expo, Asia-Pacific: New Paradigm Shift, Sustainable E-Mobility
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
ITEC Asia-Pacific 2019 - 2019 IEEE Transportation Electrification Conference and Expo, Asia-Pacific: New Paradigm Shift, Sustainable E-Mobility
Keyword
Active NPC inverterDeadbeat zoneExecution timeModel predictive current controlMotor drive
Mesh Keyword
Active neutral point clampedActive npcComputational burdenExecution timeModel predictiveMotor driveMultilevel topologiesPermanent magnet synchronous motor drives
All Science Classification Codes (ASJC)
Energy Engineering and Power TechnologyTransportationAutomotive EngineeringElectrical and Electronic Engineering
Abstract
This paper proposes an advanced finite-set model predictive current control (FS-MPCC) for permanent magnet synchronous motor (PMSM) drives fed by three-level hybrid active neutral point clamped (3L-HANPC) inverter. The 3L-HANPC which is state of the art in multilevel topology provides outstanding performances in terms of system efficiency and thermal behavior of switching devices in bi-directional power delivery. Computational burden is a major hurdle for practical implementation of FS-MPCC of motor drive. To reduce the huge computation and calculation time, the optimal section is determined thus the number of voltage vectors is selected and the calculation time for cost function can be reduced. Simulation results confirm that the computation burden could be reduced while dynamic performance is comparable with the conventional all voltage-vectors based FS-MPCC.
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/36460
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85076315846&origin=inward
DOI
https://doi.org/10.1109/itec-ap.2019.8903834
Journal URL
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8897689
Type
Conference
Funding
ACKNOWLEDGMENT This work was supported by \u201cHuman Resources Program in Energy Technology\u201d of the Korea Institute of Energy Technology Evaluation and Planning (KETEP), granted financial resource from the Ministry of Trade, Industry & Energy and the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT for First-Mover Program for Accelerating Disruptive Technology Development, Republic of Korea. (No. 20194030202370, NRF-2018M3C1B9088457)
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Lee, Kyo-Beum이교범
Department of Electrical and Computer Engineering
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