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Improved Model Predictive Control Method for Two Induction Motor Fed by Five-Leg Inverter System
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Publication Year
2018-12-03
Journal
2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018, pp.4552-4557
Keyword
Dual three-phase induction motorFive-leg inverterModel predictive control (MPC)Reduction of computational burden for MPC
Mesh Keyword
Computational burdenControl performanceConventional methodsCurrent ripplesDual three-phase induction motorFive-leg inverterVoltage source inverterVoltage vectors
All Science Classification Codes (ASJC)
Energy Engineering and Power TechnologyRenewable Energy, Sustainability and the EnvironmentControl and OptimizationComputer Networks and CommunicationsHardware and ArchitectureInformation Systems and Management
Abstract
This paper proposes an improved model predictive control (MPC) method for a five-leg voltage source inverter (FLVSI) that drives the dual three-phase induction motor system. The conventional MPC method using the full-set voltage vectors (FSMPC) has high computational burden. To reduce the computational burden, the other conventional MPC method considering only the adjacent voltage vectors (A-MPC) stored in the lookup table (LUT) is introduced but increases the current ripple causing degradation of the control performance compared to FSMPC. Therefore, in this paper, the improved MPC is proposed to reduce the computational complexity and improve the control performance compared to A-MPC. Additionally, the proposed method is compared with the conventional methods (FSMPC, A-MPC) and its effectiveness is verified by simulation results.
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/36275
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85060308406&origin=inward
DOI
https://doi.org/10.1109/ecce.2018.8558316
Journal URL
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8537478
Type
Conference
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Lee, Kyo-Beum이교범
Department of Electrical and Computer Engineering
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