A Low-Complexity Optimal Switching Time-Modulated Model-Predictive Control for PMSM with Three-Level NPC Converter

Qi Wang; Haitao Yu; Chen Li; Xiaoyu Lang; Seang Shen Yeoh; Tao Yang; Marco Rivera; Serhiy Bozhko; Patrick Wheeler

doi:10.1109/TTE.2020.3012352

A Low-Complexity Optimal Switching Time-Modulated Model-Predictive Control for PMSM with Three-Level NPC Converter

Qi Wang
, Haitao Yu^*
, Chen Li
, Xiaoyu Lang
, Seang Shen Yeoh
, Tao Yang
, Marco Rivera
, Serhiy Bozhko
, Patrick Wheeler

^*此作品的通讯作者

Southeast University, Nanjing
University of Nottingham
Universidad de Talca

科研成果: 期刊稿件 › 文章 › 同行评审

87 引用（Scopus）

摘要

Conventional finite control set model-predictive control (FCS-MPC) presents a high computational burden, especially in three-level neutral-point-clamped (NPC) converters. This article proposes a low-complexity optimal switching time-modulated model-predictive control (OST-M2PC) method for a three-level NPC converter. In the proposed OST-M2PC method, the optimal switching time is calculated using a cost function. Compared with the conventional FCS-MPC, the proposed OST-M2PC method has a fixed switching frequency as well as better power quality. The proposed OST-M2PC can operate at a 20-kHz sampling frequency, reducing the computational burden of the processor. Simulation and experimental results validate the operation of the proposed method.

源语言	英语
文章编号	9149930
页（从-至）	1188-1198
页数	11
期刊	IEEE Transactions on Transportation Electrification
卷	6
期	3
DOI	https://doi.org/10.1109/TTE.2020.3012352
出版状态	已出版 - 9月 2020
已对外发布	是

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10.1109/TTE.2020.3012352

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title = "A Low-Complexity Optimal Switching Time-Modulated Model-Predictive Control for PMSM with Three-Level NPC Converter",

abstract = "Conventional finite control set model-predictive control (FCS-MPC) presents a high computational burden, especially in three-level neutral-point-clamped (NPC) converters. This article proposes a low-complexity optimal switching time-modulated model-predictive control (OST-M2PC) method for a three-level NPC converter. In the proposed OST-M2PC method, the optimal switching time is calculated using a cost function. Compared with the conventional FCS-MPC, the proposed OST-M2PC method has a fixed switching frequency as well as better power quality. The proposed OST-M2PC can operate at a 20-kHz sampling frequency, reducing the computational burden of the processor. Simulation and experimental results validate the operation of the proposed method.",

keywords = "Finite control set model-predictive control (FCS-MPC), modulated model-predictive control (M2PC), optimal switching time-M2PC (OST-M2PC), permanent magnet synchronous motor (PMSM)",

author = "Qi Wang and Haitao Yu and Chen Li and Xiaoyu Lang and Yeoh, \{Seang Shen\} and Tao Yang and Marco Rivera and Serhiy Bozhko and Patrick Wheeler",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.",

year = "2020",

month = sep,

doi = "10.1109/TTE.2020.3012352",

language = "English",

volume = "6",

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T1 - A Low-Complexity Optimal Switching Time-Modulated Model-Predictive Control for PMSM with Three-Level NPC Converter

AU - Wang, Qi

AU - Yu, Haitao

AU - Li, Chen

AU - Lang, Xiaoyu

AU - Yeoh, Seang Shen

AU - Yang, Tao

AU - Rivera, Marco

AU - Bozhko, Serhiy

AU - Wheeler, Patrick

PY - 2020/9

Y1 - 2020/9

N2 - Conventional finite control set model-predictive control (FCS-MPC) presents a high computational burden, especially in three-level neutral-point-clamped (NPC) converters. This article proposes a low-complexity optimal switching time-modulated model-predictive control (OST-M2PC) method for a three-level NPC converter. In the proposed OST-M2PC method, the optimal switching time is calculated using a cost function. Compared with the conventional FCS-MPC, the proposed OST-M2PC method has a fixed switching frequency as well as better power quality. The proposed OST-M2PC can operate at a 20-kHz sampling frequency, reducing the computational burden of the processor. Simulation and experimental results validate the operation of the proposed method.

AB - Conventional finite control set model-predictive control (FCS-MPC) presents a high computational burden, especially in three-level neutral-point-clamped (NPC) converters. This article proposes a low-complexity optimal switching time-modulated model-predictive control (OST-M2PC) method for a three-level NPC converter. In the proposed OST-M2PC method, the optimal switching time is calculated using a cost function. Compared with the conventional FCS-MPC, the proposed OST-M2PC method has a fixed switching frequency as well as better power quality. The proposed OST-M2PC can operate at a 20-kHz sampling frequency, reducing the computational burden of the processor. Simulation and experimental results validate the operation of the proposed method.

KW - Finite control set model-predictive control (FCS-MPC)

KW - modulated model-predictive control (M2PC)

KW - optimal switching time-M2PC (OST-M2PC)

KW - permanent magnet synchronous motor (PMSM)

UR - https://www.scopus.com/pages/publications/85089286702

U2 - 10.1109/TTE.2020.3012352

DO - 10.1109/TTE.2020.3012352

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JO - IEEE Transactions on Transportation Electrification

JF - IEEE Transactions on Transportation Electrification

IS - 3

M1 - 9149930

ER -

A Low-Complexity Optimal Switching Time-Modulated Model-Predictive Control for PMSM with Three-Level NPC Converter

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