Recent Advances in Multi-Phase Electric Drives Model Predictive Control in Renewable Energy Application: A State-of-the-Art Review

Zhiwei Xue; Shuangxia Niu; Aten Man Ho Chau; Yixiao Luo; Hongjian Lin; Xianglin Li

doi:10.3390/wevj14020044

Recent Advances in Multi-Phase Electric Drives Model Predictive Control in Renewable Energy Application: A State-of-the-Art Review

Zhiwei Xue, Shuangxia Niu, Aten Man Ho Chau, Yixiao Luo, Hongjian Lin, Xianglin Li

The Hong Kong Polytechnic University

Research output: Journal article publication › Review article › Academic research › peer-review

7 Citations (Scopus)

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.

Original language	English
Article number	44
Journal	World Electric Vehicle Journal
Volume	14
Issue number	2
DOIs	https://doi.org/10.3390/wevj14020044
Publication status	Published - Feb 2023

Keywords

fault-tolerant control
harmonic currents reduction
machine weighting factors
model predictive control
multi-phase

ASJC Scopus subject areas

Automotive Engineering

More information

10.3390/wevj14020044

http://hdl.handle.net/10397/105791

Cite this

@article{3c3c578a675e4778ab7e2e08149ee6f2,

title = "Recent Advances in Multi-Phase Electric Drives Model Predictive Control in Renewable Energy Application: A State-of-the-Art Review",

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",

author = "Zhiwei Xue and Shuangxia Niu and Chau, {Aten Man Ho} and Yixiao Luo and Hongjian Lin and Xianglin Li",

note = "Publisher Copyright: {\textcopyright} 2023 by the authors.",

year = "2023",

month = feb,

doi = "10.3390/wevj14020044",

language = "English",

volume = "14",

journal = "World Electric Vehicle Journal",

issn = "2032-6653",

publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",

number = "2",

}

TY - JOUR

T1 - Recent Advances in Multi-Phase Electric Drives Model Predictive Control in Renewable Energy Application: A State-of-the-Art Review

AU - Xue, Zhiwei

AU - Niu, Shuangxia

AU - Chau, Aten Man Ho

AU - Luo, Yixiao

AU - Lin, Hongjian

AU - Li, Xianglin

PY - 2023/2

Y1 - 2023/2

N2 - 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.

AB - 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.

KW - fault-tolerant control

KW - harmonic currents reduction

KW - machine weighting factors

KW - model predictive control

KW - multi-phase

UR - http://www.scopus.com/inward/record.url?scp=85149180211&partnerID=8YFLogxK

U2 - 10.3390/wevj14020044

DO - 10.3390/wevj14020044

M3 - Review article

AN - SCOPUS:85149180211

SN - 2032-6653

VL - 14

JO - World Electric Vehicle Journal

JF - World Electric Vehicle Journal

IS - 2

M1 - 44

ER -

Recent Advances in Multi-Phase Electric Drives Model Predictive Control in Renewable Energy Application: A State-of-the-Art Review

Abstract

Keywords

ASJC Scopus subject areas

More information

Other files and links

Fingerprint

Cite this