Current Injection-Based VSI Nonlinearity Self-learning Method for Dual Three-Phase PMSM Drives Considering the Effect of Zero-axis Voltage

Guangxu Lu; Guijie Yang; Jianyong Su; Fengyang Liu

doi:10.1109/ECCE53617.2023.10362368

Current Injection-Based VSI Nonlinearity Self-learning Method for Dual Three-Phase PMSM Drives Considering the Effect of Zero-axis Voltage

Guangxu Lu^*
, Guijie Yang
, Jianyong Su
, Fengyang Liu

^*Corresponding author for this work

School of Electrical Engineering and Automation, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

Self-commissioning has become an important feature of modern electric drives, of which the voltage source inverter (VSI) nonlinearity self-learning is a part. This paper investigates a VSI nonlinearity self-learning method for dual three-phase permanent magnet synchronous motor (DTP-PMSM) drives based on harmonic plane current injection. First, the zero-axis voltage effect of the six-phase inverter is analyzed, which shows that the error caused by the zero-axis voltage can be eliminated by keeping one phase current at zero. Then, a special harmonic plane current injection method is proposed to eliminate the zero-axis voltage effect at arbitrary rotor initial position. In this way, the VSI nonlinearity self-learning considering the zero-axis voltage is achieved. In addition, a novel self-learning process is designed to resist the unbalance factors in the power device and winding, which is easy to implement. Experimental results are in support of the features of the proposed method.

Original language	English
Title of host publication	2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	5297-5302
Number of pages	6
ISBN (Electronic)	9798350316445
DOIs	https://doi.org/10.1109/ECCE53617.2023.10362368
State	Published - 2023
Externally published	Yes
Event	2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023 - Nashville, United States Duration: 29 Oct 2023 → 2 Nov 2023

Publication series

Name	2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023

Conference

Conference	2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023
Country/Territory	United States
City	Nashville
Period	29/10/23 → 2/11/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Dual three-phase permanent magnet synchronous motor drives
current injection
inverter nonlinearity
self-learning
zero-axis voltage

Access to Document

10.1109/ECCE53617.2023.10362368

Cite this

Lu, G., Yang, G., Su, J., & Liu, F. (2023). Current Injection-Based VSI Nonlinearity Self-learning Method for Dual Three-Phase PMSM Drives Considering the Effect of Zero-axis Voltage. In 2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023 (pp. 5297-5302). (2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECCE53617.2023.10362368

Lu, Guangxu ; Yang, Guijie ; Su, Jianyong et al. / Current Injection-Based VSI Nonlinearity Self-learning Method for Dual Three-Phase PMSM Drives Considering the Effect of Zero-axis Voltage. 2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 5297-5302 (2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023).

@inproceedings{c47995d051e94d8687f3f6121142aa64,

title = "Current Injection-Based VSI Nonlinearity Self-learning Method for Dual Three-Phase PMSM Drives Considering the Effect of Zero-axis Voltage",

abstract = "Self-commissioning has become an important feature of modern electric drives, of which the voltage source inverter (VSI) nonlinearity self-learning is a part. This paper investigates a VSI nonlinearity self-learning method for dual three-phase permanent magnet synchronous motor (DTP-PMSM) drives based on harmonic plane current injection. First, the zero-axis voltage effect of the six-phase inverter is analyzed, which shows that the error caused by the zero-axis voltage can be eliminated by keeping one phase current at zero. Then, a special harmonic plane current injection method is proposed to eliminate the zero-axis voltage effect at arbitrary rotor initial position. In this way, the VSI nonlinearity self-learning considering the zero-axis voltage is achieved. In addition, a novel self-learning process is designed to resist the unbalance factors in the power device and winding, which is easy to implement. Experimental results are in support of the features of the proposed method.",

keywords = "Dual three-phase permanent magnet synchronous motor drives, current injection, inverter nonlinearity, self-learning, zero-axis voltage",

author = "Guangxu Lu and Guijie Yang and Jianyong Su and Fengyang Liu",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023 ; Conference date: 29-10-2023 Through 02-11-2023",

year = "2023",

doi = "10.1109/ECCE53617.2023.10362368",

language = "英语",

series = "2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "5297--5302",

booktitle = "2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023",

address = "美国",

}

Lu, G, Yang, G , Su, J & Liu, F 2023, Current Injection-Based VSI Nonlinearity Self-learning Method for Dual Three-Phase PMSM Drives Considering the Effect of Zero-axis Voltage. in 2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023. 2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023, Institute of Electrical and Electronics Engineers Inc., pp. 5297-5302, 2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023, Nashville, United States, 29/10/23. https://doi.org/10.1109/ECCE53617.2023.10362368

Current Injection-Based VSI Nonlinearity Self-learning Method for Dual Three-Phase PMSM Drives Considering the Effect of Zero-axis Voltage. / Lu, Guangxu; Yang, Guijie ; Su, Jianyong et al.
2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 5297-5302 (2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Current Injection-Based VSI Nonlinearity Self-learning Method for Dual Three-Phase PMSM Drives Considering the Effect of Zero-axis Voltage

AU - Lu, Guangxu

AU - Yang, Guijie

AU - Su, Jianyong

AU - Liu, Fengyang

PY - 2023

Y1 - 2023

N2 - Self-commissioning has become an important feature of modern electric drives, of which the voltage source inverter (VSI) nonlinearity self-learning is a part. This paper investigates a VSI nonlinearity self-learning method for dual three-phase permanent magnet synchronous motor (DTP-PMSM) drives based on harmonic plane current injection. First, the zero-axis voltage effect of the six-phase inverter is analyzed, which shows that the error caused by the zero-axis voltage can be eliminated by keeping one phase current at zero. Then, a special harmonic plane current injection method is proposed to eliminate the zero-axis voltage effect at arbitrary rotor initial position. In this way, the VSI nonlinearity self-learning considering the zero-axis voltage is achieved. In addition, a novel self-learning process is designed to resist the unbalance factors in the power device and winding, which is easy to implement. Experimental results are in support of the features of the proposed method.

AB - Self-commissioning has become an important feature of modern electric drives, of which the voltage source inverter (VSI) nonlinearity self-learning is a part. This paper investigates a VSI nonlinearity self-learning method for dual three-phase permanent magnet synchronous motor (DTP-PMSM) drives based on harmonic plane current injection. First, the zero-axis voltage effect of the six-phase inverter is analyzed, which shows that the error caused by the zero-axis voltage can be eliminated by keeping one phase current at zero. Then, a special harmonic plane current injection method is proposed to eliminate the zero-axis voltage effect at arbitrary rotor initial position. In this way, the VSI nonlinearity self-learning considering the zero-axis voltage is achieved. In addition, a novel self-learning process is designed to resist the unbalance factors in the power device and winding, which is easy to implement. Experimental results are in support of the features of the proposed method.

KW - Dual three-phase permanent magnet synchronous motor drives

KW - current injection

KW - inverter nonlinearity

KW - self-learning

KW - zero-axis voltage

UR - https://www.scopus.com/pages/publications/85182930301

U2 - 10.1109/ECCE53617.2023.10362368

DO - 10.1109/ECCE53617.2023.10362368

M3 - 会议稿件

AN - SCOPUS:85182930301

T3 - 2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023

SP - 5297

EP - 5302

BT - 2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023

Y2 - 29 October 2023 through 2 November 2023

ER -

Lu G, Yang G , Su J, Liu F. Current Injection-Based VSI Nonlinearity Self-learning Method for Dual Three-Phase PMSM Drives Considering the Effect of Zero-axis Voltage. In 2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 5297-5302. (2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023). doi: 10.1109/ECCE53617.2023.10362368

Current Injection-Based VSI Nonlinearity Self-learning Method for Dual Three-Phase PMSM Drives Considering the Effect of Zero-axis Voltage

Abstract

Publication series

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UN SDGs

Keywords

Access to Document

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