Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/105791
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Title: Recent advances in multi-phase electric drives model predictive control in renewable energy application : a state-of-the-art review
Authors: Xue, Z 
Niu, S 
Chau, AMH
Luo, Y
Lin, H 
Li, X
Issue Date: Feb-2023
Source: World electric vehicle journal, Feb. 2023, v. 14, no. 2, 44
Abstract: Model predictive control (MPC) technology for multi-phase electric drives has received increasing attention in modern industries, especially in electric vehicles, marine electrical propulsion, and wind power generation. However, MPC has several challenges in controlling multi-phase electric drives, including the design of weighting factors, high computational complexity, large harmonic currents, heavy reliance on the system model, fault-tolerant control operation, common-mode voltage, and zero-sequence current hazards. Therefore, this paper gives a comprehensive review of the latest and most effective solutions to the existing major technical challenges and prospects for the future trends of MPC for multi-phase electric drives.
Keywords: Fault-tolerant control
Harmonic currents reduction
Machine weighting factors
Model predictive control
Multi-phase
Publisher: MDPI AG
Journal: World electric vehicle journal 
EISSN: 2032-6653
DOI: 10.3390/wevj14020044
Rights: Copyright: © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
The following publication Xue Z, Niu S, Chau AMH, Luo Y, Lin H, Li X. Recent Advances in Multi-Phase Electric Drives Model Predictive Control in Renewable Energy Application: A State-of-the-Art Review. World Electric Vehicle Journal. 2023; 14(2):44 is available at https://doi.org/10.3390/wevj14020044.
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