Adaptive Stator Current Disturbance Observer based on the Predictive Current Control for PMSM

Fengxiang Wang; Kunkun Zuo; Guiying Lin; Long He; Jose Rodriguez; Cristian Garcia

doi:10.1109/IECON43393.2020.9255194

Adaptive Stator Current Disturbance Observer based on the Predictive Current Control for PMSM

Fengxiang Wang, Kunkun Zuo, Guiying Lin, Long He, Jose Rodriguez, Cristian Garcia

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

3 Citations (Scopus)

Abstract

This paper presents an adaptive stator current disturbance observer based on the model predictive current control (PCC) algorithm. For the various disturbances, the disturbance observer (DO) algorithm estimates the lumped disturbance and makes a feedforward compensation to correct the output. However, the discrete characteristic of current prediction error is neglected in conventional stator current disturbance observer (SCDO). Based on the detailed analysis of the stator current prediction error, the proposed method structures a parallel strategy to observe the discrete disturbance related to each voltage vector separately, and designs an adaptive compensation strategy to eliminate the prediction error. The effectiveness of proposed method is verified using experimental tests in the permanent-magnet synchronous motor (PMSM) system.

Original language	English
Title of host publication	Proceedings - IECON 2020
Subtitle of host publication	46th Annual Conference of the IEEE Industrial Electronics Society
Publisher	IEEE Computer Society
Pages	4612-4618
Number of pages	7
ISBN (Electronic)	9781728154145
DOIs	https://doi.org/10.1109/IECON43393.2020.9255194
Publication status	Published - 18 Oct 2020
Event	46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020 - Virtual, Singapore, Singapore Duration: 19 Oct 2020 → 21 Oct 2020

Publication series

Name	IECON Proceedings (Industrial Electronics Conference)
Volume	2020-October

Conference

Conference	46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020
Country/Territory	Singapore
City	Virtual, Singapore
Period	19/10/20 → 21/10/20

Keywords

Disturbance Observer (DOB)
permanent-magnet Synchronous Motor (PMSM)
predictive Current Control (PCC)

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/IECON43393.2020.9255194

Cite this

Wang, F., Zuo, K., Lin, G., He, L., Rodriguez, J., & Garcia, C. (2020). Adaptive Stator Current Disturbance Observer based on the Predictive Current Control for PMSM. In Proceedings - IECON 2020: 46th Annual Conference of the IEEE Industrial Electronics Society (pp. 4612-4618). Article 9255194 (IECON Proceedings (Industrial Electronics Conference); Vol. 2020-October). IEEE Computer Society. https://doi.org/10.1109/IECON43393.2020.9255194

@inproceedings{8447644aa908495cb68e653f78a8c3eb,

title = "Adaptive Stator Current Disturbance Observer based on the Predictive Current Control for PMSM",

abstract = "This paper presents an adaptive stator current disturbance observer based on the model predictive current control (PCC) algorithm. For the various disturbances, the disturbance observer (DO) algorithm estimates the lumped disturbance and makes a feedforward compensation to correct the output. However, the discrete characteristic of current prediction error is neglected in conventional stator current disturbance observer (SCDO). Based on the detailed analysis of the stator current prediction error, the proposed method structures a parallel strategy to observe the discrete disturbance related to each voltage vector separately, and designs an adaptive compensation strategy to eliminate the prediction error. The effectiveness of proposed method is verified using experimental tests in the permanent-magnet synchronous motor (PMSM) system.",

keywords = "Disturbance Observer (DOB), permanent-magnet Synchronous Motor (PMSM), predictive Current Control (PCC)",

author = "Fengxiang Wang and Kunkun Zuo and Guiying Lin and Long He and Jose Rodriguez and Cristian Garcia",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020 ; Conference date: 19-10-2020 Through 21-10-2020",

year = "2020",

month = oct,

day = "18",

doi = "10.1109/IECON43393.2020.9255194",

language = "English",

series = "IECON Proceedings (Industrial Electronics Conference)",

publisher = "IEEE Computer Society",

pages = "4612--4618",

booktitle = "Proceedings - IECON 2020",

address = "United States",

}

Wang, F, Zuo, K, Lin, G, He, L, Rodriguez, J & Garcia, C 2020, Adaptive Stator Current Disturbance Observer based on the Predictive Current Control for PMSM. in Proceedings - IECON 2020: 46th Annual Conference of the IEEE Industrial Electronics Society., 9255194, IECON Proceedings (Industrial Electronics Conference), vol. 2020-October, IEEE Computer Society, pp. 4612-4618, 46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020, Virtual, Singapore, Singapore, 19/10/20. https://doi.org/10.1109/IECON43393.2020.9255194

Adaptive Stator Current Disturbance Observer based on the Predictive Current Control for PMSM. / Wang, Fengxiang; Zuo, Kunkun; Lin, Guiying et al.
Proceedings - IECON 2020: 46th Annual Conference of the IEEE Industrial Electronics Society. IEEE Computer Society, 2020. p. 4612-4618 9255194 (IECON Proceedings (Industrial Electronics Conference); Vol. 2020-October).

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

TY - GEN

T1 - Adaptive Stator Current Disturbance Observer based on the Predictive Current Control for PMSM

AU - Wang, Fengxiang

AU - Zuo, Kunkun

AU - Lin, Guiying

AU - He, Long

AU - Rodriguez, Jose

AU - Garcia, Cristian

PY - 2020/10/18

Y1 - 2020/10/18

N2 - This paper presents an adaptive stator current disturbance observer based on the model predictive current control (PCC) algorithm. For the various disturbances, the disturbance observer (DO) algorithm estimates the lumped disturbance and makes a feedforward compensation to correct the output. However, the discrete characteristic of current prediction error is neglected in conventional stator current disturbance observer (SCDO). Based on the detailed analysis of the stator current prediction error, the proposed method structures a parallel strategy to observe the discrete disturbance related to each voltage vector separately, and designs an adaptive compensation strategy to eliminate the prediction error. The effectiveness of proposed method is verified using experimental tests in the permanent-magnet synchronous motor (PMSM) system.

AB - This paper presents an adaptive stator current disturbance observer based on the model predictive current control (PCC) algorithm. For the various disturbances, the disturbance observer (DO) algorithm estimates the lumped disturbance and makes a feedforward compensation to correct the output. However, the discrete characteristic of current prediction error is neglected in conventional stator current disturbance observer (SCDO). Based on the detailed analysis of the stator current prediction error, the proposed method structures a parallel strategy to observe the discrete disturbance related to each voltage vector separately, and designs an adaptive compensation strategy to eliminate the prediction error. The effectiveness of proposed method is verified using experimental tests in the permanent-magnet synchronous motor (PMSM) system.

KW - Disturbance Observer (DOB)

KW - permanent-magnet Synchronous Motor (PMSM)

KW - predictive Current Control (PCC)

UR - http://www.scopus.com/inward/record.url?scp=85097787075&partnerID=8YFLogxK

U2 - 10.1109/IECON43393.2020.9255194

DO - 10.1109/IECON43393.2020.9255194

M3 - Conference contribution

AN - SCOPUS:85097787075

T3 - IECON Proceedings (Industrial Electronics Conference)

SP - 4612

EP - 4618

BT - Proceedings - IECON 2020

PB - IEEE Computer Society

T2 - 46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020

Y2 - 19 October 2020 through 21 October 2020

ER -

Wang F, Zuo K, Lin G, He L, Rodriguez J, Garcia C. Adaptive Stator Current Disturbance Observer based on the Predictive Current Control for PMSM. In Proceedings - IECON 2020: 46th Annual Conference of the IEEE Industrial Electronics Society. IEEE Computer Society. 2020. p. 4612-4618. 9255194. (IECON Proceedings (Industrial Electronics Conference)). doi: 10.1109/IECON43393.2020.9255194

Adaptive Stator Current Disturbance Observer based on the Predictive Current Control for PMSM

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this