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Model-based predictive torque control of open-end winding IPMSMs driven by direct self-control
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Publication Year
2024-10-01
Publisher
Springer
Citation
Journal of Power Electronics, Vol.24, pp.1617-1627
Keyword
Direct self-controlDual inverter with isolated power sourceOpen-end winding IPMSMPredictive torque control
Mesh Keyword
Direct self controlDual inverte with isolated power sourceDual invertersInterior permanent magnet synchronous motorIsolated powerLow switching frequencyOpen-end winding IPMSMOpen-end windingsPower sourcesPredictive torque controls
All Science Classification Codes (ASJC)
Control and Systems EngineeringElectrical and Electronic Engineering
Abstract
This paper proposes a method for the torque ripple reduction of an open-end winding interior permanent magnet synchronous motor (OEW-IPMSM) using direct self-control (DSC). The conventional DSC has been researched in high-power systems because of its advantages in terms of a low switching frequency and a fast response of torque. Nevertheless, high torque ripple is a disadvantage of the conventional DSC. This is because the trajectory of the stator flux is controlled in the shape of a hexagon for lower switching frequencies and by applying hysteresis torque control. In this paper, predictive torque control using a mathematical model of an OEW-IPMSM is presented to improve the quality of the torque control. In addition, the presented method addresses the trajectory control of the flux using the diverse voltage vectors of the dual inverter. The validity of the presented method is demonstrated by simulations and experimental results.
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/34365
DOI
https://doi.org/10.1007/s43236-024-00887-1
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Type
Article
Funding
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT), the Korea Institute of Energy Technology Evaluation and Planning (KETEP), and the Ministry of Trade, Industry & Energy (MOTIE) of the Republic of Korea (No. RS-2024-00333208, No. 20225500000110).
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 Lee, Kyo-Beum Image
Lee, Kyo-Beum이교범
Department of Electrical and Computer Engineering
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