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Model Predictive Control With Space Vector Modulation Based on a Voltage Angle for Driving Open-End Winding IPMSMoa mark
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Publication Year
2024-01-01
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
IEEE Access, Vol.12, pp.89026-89034
Keyword
calculation burdeninterior permanent magnet synchronous motor (PMSM)model predictive control (MPC)Open-end winding (OEW)space vector modulation (SVM)torque ripplevoltage angle
Mesh Keyword
Calculation burdenInterior permanent magnet synchronoi motorInterior permanent magnet synchronous motorInverterModel predictive controlModel-predictive controlOpen-end windingOpen-end windingsSpace vector modulationStator windingTorque ripplesVoltage angle
All Science Classification Codes (ASJC)
Computer Science (all)Materials Science (all)Engineering (all)
Abstract
This paper proposes a model predictive control with space vector modulation (MPC-SVM) method that is based on using a voltage angle to reduce ripple components in open-end winding interior permanent magnet synchronous motor (OEW-IPMSM). Conventional model predictive control (CMPC) provides fast transient states by applying an actual voltage vector each switching period. However, due to the limited magnitude of voltage vectors, the CMPC causes large torque ripple and low current quality. The MPC-SVM method proposed herein generates virtual voltage vectors based on the voltage angle and surrounding area. Virtual voltage vectors provide various magnitudes and positions except for areas that are not in use. The optimal reference voltage vector is derived as the result of the cost function operation applied through the space vector modulation (SVM) method, and it improves the steady-state compared to the CMPC. Therefore, torque ripple is reduced and current quality is improved by using fewer virtual voltage vectors, and this results in superior steady-state characteristics. The validity of the proposed MPC-SVM method based on the voltage angle for driving OEW-IPMSM is affirmed through simulation and experimental results in comparison to the CMPC.
ISSN
2169-3536
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/34295
DOI
https://doi.org/10.1109/access.2024.3419724
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 Lee, Kyo-Beum Image
Lee, Kyo-Beum이교범
Department of Electrical and Computer Engineering
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