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Simplified Deadbeat Predictive Torque Control Based on Discrete Space Vector Modulation for Driving an Open-End Winding Permanent Magnet Synchronous Motoroa mark
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Publication Year
2024-01-01
Journal
IEEJ Journal of Industry Applications
Publisher
Institute of Electrical Engineers of Japan
Citation
IEEJ Journal of Industry Applications, Vol.13 No.3, pp.308-316
Keyword
dual inverteropen-end winding permanent magnet synchronous motor (OEW-PMSM)predictive torque control (PTC)
Mesh Keyword
Current ripplesDiscrete space vector modulationDual invertersOpen-end winding permanent magnet synchronoi motorOpen-end windingsPermanent Magnet Synchronous MotorPredictive torque controlPredictive torque controlsTorque ripplesVoltage vectors
All Science Classification Codes (ASJC)
Automotive EngineeringEnergy Engineering and Power TechnologyMechanical EngineeringIndustrial and Manufacturing EngineeringElectrical and Electronic Engineering
Abstract
This study proposes a simplified deadbeat (DB) predictive torque control (PTC) strategy for driving an open-end winding permanent magnet synchronous motor (OEW-PMSM) to reduce the torque and current ripple. The torque and current ripple are large because the conventional finite set PTC (FS-PTC) uses only one voltage vector in the sampling period. To avoid these problems, a simplified PTC strategy based on discrete space vector modulation (DSVM) is proposed to split the voltage vector into a virtual voltage vector and select the optimal voltage vector. Furthermore, the DB method is used to estimate the reference voltage angle and to thereby select an area that includes the candidate voltage vectors to reduce the computational burden. Among these candidate voltage vectors in the selected area, the optimal voltage vector can be selected by calculating the cost function. Therefore, one or more voltage vectors are used in the sampling period, reducing the torque and current ripple. The effectiveness of the proposed strategy is verified through simulation and experimental results.
ISSN
2187-1108
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/34179
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85192099252&origin=inward
DOI
https://doi.org/10.1541/ieejjia.23009352
Journal URL
https://www.jstage.jst.go.jp/article/ieejjia/13/3/13_23009352/_article/-char/en
Type
Article
Funding
This work was supported in part by the Korea Institute of Energy Technology Evaluation and Planning (KETEP) and the Ministry of Trade, Industry & Energy (MOTIE) of the Republic of Korea under Grant 20225500000110.
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Lee, Kyo-Beum이교범
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