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Improved Deadbeat-Predictive Torque Control Space Vector Modulation method with Open-End Winding Interior Permanent Magnet Synchronous Motor
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Publication Year
2023-01-01
Journal
ICPE 2023-ECCE Asia - 11th International Conference on Power Electronics - ECCE Asia: Green World with Power Electronics
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
ICPE 2023-ECCE Asia - 11th International Conference on Power Electronics - ECCE Asia: Green World with Power Electronics, pp.3063-3069
Keyword
deadbeatIPMSMopen-end windingpredictive torque controlspace vector modulationtorque ripple reduction
Mesh Keyword
Control methodsDeadbeatInterior permanent magnet synchronous motorIPMSMOpen-end windingsPredictive torque controlsSpace Vector ModulationSpace vector modulation methodTorque-ripple reductionVoltage vectors
All Science Classification Codes (ASJC)
Hardware and ArchitectureEnergy Engineering and Power TechnologyElectrical and Electronic Engineering
Abstract
This paper proposes an improved deadbeat-predictive torque control (DB-PTC) using space vector modulation (SVM) to drive open-end winding interior permanent magnet synchronous motor (OEW-IPMSM). Conventional predictive torque control (C-PTC) directly applies the voltage vector which closely follows the reference. Therefore, it has good transient response characteristics and simple algorithms. However, C-PTC applies the voltage vectors that have fixed magnitude in a single sampling period, which makes inconsistent switching frequency and high torque ripples. The proposed DB-PTC method selects the specific region where the virtual voltage vectors generated by the estimated reference voltage angle and cost function. Virtual voltage vectors offer to apply an optimal voltage vector, and the SVM method makes having consistent switching frequency. In result, steady state error can be decreased, the proposed method has a great advantage in terms of torque ripple reduction. The validity of proposed DB-PTC method is demonstrated through the simulation results.
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/37004
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85170638690&origin=inward
DOI
https://doi.org/10.23919/icpe2023-ecceasia54778.2023.10213913
Journal URL
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=10213399
Type
Conference
Funding
ACKNOWLEDGMENT This work was supported by the Korea Institute of Energy Technology Evaluation and Planning (KETEP) and the Ministry of Trade, Industry & Energy (MOTIE) of the Republic of Korea (No. 20225500000110).
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Lee, Kyo-Beum이교범
Department of Electrical and Computer Engineering
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