Improved deadbeat predictive current control for open-winding permanent magnet synchronous generators

Wenfeng Wang; Yue Ma

doi:10.1007/978-981-99-6882-4_65

Improved deadbeat predictive current control for open-winding permanent magnet synchronous generators

Wenfeng Wang, Yue Ma^*

^*Corresponding author for this work

School of Mechanical Engineering

Beijing Institute of Technology

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

Abstract

In order to solve the problem of parameter mismatch in the DPCC (deadbeat predictive current control) of open-winding permanent magnet synchronous generators, this paper proposes an IDPCC (improved deadbeat predictive current control) algorithm. By designing a Longberg observer to estimate disturbance error and compensate for the reference voltage of the d, q, and 0 axes, the impact of mismatched inductance parameters on the d, q, and 0 axes is eliminated. Based on the Longberg observer, an incremental model is applied to the d and q axis current predictive control to eliminate the impact of permanent magnet flux mismatch. And a control system model of an open-winding generator was established in the Matlab/Simulink environment, verifying the effectiveness of the algorithm proposed in this paper.

Original language	English
Title of host publication	Proceedings of 2023 Chinese Intelligent Systems Conference - Volume II
Editors	Yingmin Jia, Weicun Zhang, Yongling Fu, Jiqiang Wang
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	801-813
Number of pages	13
ISBN (Print)	9789819968817
DOIs	https://doi.org/10.1007/978-981-99-6882-4_65
Publication status	Published - 2023
Event	19th Chinese Intelligent Systems Conference, CISC 2023 - Ningbo, China Duration: 14 Oct 2023 → 15 Oct 2023

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	1090 LNEE
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	19th Chinese Intelligent Systems Conference, CISC 2023
Country/Territory	China
City	Ningbo
Period	14/10/23 → 15/10/23

Keywords

IDPCC
Incremental model
Longberg observer
Open-winding generator

Access to Document

10.1007/978-981-99-6882-4_65

Cite this

Wang, W., & Ma, Y. (2023). Improved deadbeat predictive current control for open-winding permanent magnet synchronous generators. In Y. Jia, W. Zhang, Y. Fu, & J. Wang (Eds.), Proceedings of 2023 Chinese Intelligent Systems Conference - Volume II (pp. 801-813). (Lecture Notes in Electrical Engineering; Vol. 1090 LNEE). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-99-6882-4_65

Wang, Wenfeng ; Ma, Yue. / Improved deadbeat predictive current control for open-winding permanent magnet synchronous generators. Proceedings of 2023 Chinese Intelligent Systems Conference - Volume II. editor / Yingmin Jia ; Weicun Zhang ; Yongling Fu ; Jiqiang Wang. Springer Science and Business Media Deutschland GmbH, 2023. pp. 801-813 (Lecture Notes in Electrical Engineering).

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title = "Improved deadbeat predictive current control for open-winding permanent magnet synchronous generators",

abstract = "In order to solve the problem of parameter mismatch in the DPCC (deadbeat predictive current control) of open-winding permanent magnet synchronous generators, this paper proposes an IDPCC (improved deadbeat predictive current control) algorithm. By designing a Longberg observer to estimate disturbance error and compensate for the reference voltage of the d, q, and 0 axes, the impact of mismatched inductance parameters on the d, q, and 0 axes is eliminated. Based on the Longberg observer, an incremental model is applied to the d and q axis current predictive control to eliminate the impact of permanent magnet flux mismatch. And a control system model of an open-winding generator was established in the Matlab/Simulink environment, verifying the effectiveness of the algorithm proposed in this paper.",

keywords = "IDPCC, Incremental model, Longberg observer, Open-winding generator",

author = "Wenfeng Wang and Yue Ma",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.; 19th Chinese Intelligent Systems Conference, CISC 2023 ; Conference date: 14-10-2023 Through 15-10-2023",

year = "2023",

doi = "10.1007/978-981-99-6882-4_65",

language = "English",

isbn = "9789819968817",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "801--813",

editor = "Yingmin Jia and Weicun Zhang and Yongling Fu and Jiqiang Wang",

booktitle = "Proceedings of 2023 Chinese Intelligent Systems Conference - Volume II",

address = "Germany",

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Wang, W & Ma, Y 2023, Improved deadbeat predictive current control for open-winding permanent magnet synchronous generators. in Y Jia, W Zhang, Y Fu & J Wang (eds), Proceedings of 2023 Chinese Intelligent Systems Conference - Volume II. Lecture Notes in Electrical Engineering, vol. 1090 LNEE, Springer Science and Business Media Deutschland GmbH, pp. 801-813, 19th Chinese Intelligent Systems Conference, CISC 2023, Ningbo, China, 14/10/23. https://doi.org/10.1007/978-981-99-6882-4_65

Improved deadbeat predictive current control for open-winding permanent magnet synchronous generators. / Wang, Wenfeng; Ma, Yue.
Proceedings of 2023 Chinese Intelligent Systems Conference - Volume II. ed. / Yingmin Jia; Weicun Zhang; Yongling Fu; Jiqiang Wang. Springer Science and Business Media Deutschland GmbH, 2023. p. 801-813 (Lecture Notes in Electrical Engineering; Vol. 1090 LNEE).

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

TY - GEN

T1 - Improved deadbeat predictive current control for open-winding permanent magnet synchronous generators

AU - Wang, Wenfeng

AU - Ma, Yue

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

PY - 2023

Y1 - 2023

N2 - In order to solve the problem of parameter mismatch in the DPCC (deadbeat predictive current control) of open-winding permanent magnet synchronous generators, this paper proposes an IDPCC (improved deadbeat predictive current control) algorithm. By designing a Longberg observer to estimate disturbance error and compensate for the reference voltage of the d, q, and 0 axes, the impact of mismatched inductance parameters on the d, q, and 0 axes is eliminated. Based on the Longberg observer, an incremental model is applied to the d and q axis current predictive control to eliminate the impact of permanent magnet flux mismatch. And a control system model of an open-winding generator was established in the Matlab/Simulink environment, verifying the effectiveness of the algorithm proposed in this paper.

AB - In order to solve the problem of parameter mismatch in the DPCC (deadbeat predictive current control) of open-winding permanent magnet synchronous generators, this paper proposes an IDPCC (improved deadbeat predictive current control) algorithm. By designing a Longberg observer to estimate disturbance error and compensate for the reference voltage of the d, q, and 0 axes, the impact of mismatched inductance parameters on the d, q, and 0 axes is eliminated. Based on the Longberg observer, an incremental model is applied to the d and q axis current predictive control to eliminate the impact of permanent magnet flux mismatch. And a control system model of an open-winding generator was established in the Matlab/Simulink environment, verifying the effectiveness of the algorithm proposed in this paper.

KW - IDPCC

KW - Incremental model

KW - Longberg observer

KW - Open-winding generator

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T3 - Lecture Notes in Electrical Engineering

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BT - Proceedings of 2023 Chinese Intelligent Systems Conference - Volume II

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Wang W, Ma Y. Improved deadbeat predictive current control for open-winding permanent magnet synchronous generators. In Jia Y, Zhang W, Fu Y, Wang J, editors, Proceedings of 2023 Chinese Intelligent Systems Conference - Volume II. Springer Science and Business Media Deutschland GmbH. 2023. p. 801-813. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-99-6882-4_65

Improved deadbeat predictive current control for open-winding permanent magnet synchronous generators

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