Finite Control Set Model-Based Predictive Current Control with Variable Sampling Interval for Induction Machine

Qing Chen; Xiaonan Gao; Peter Stolze; Ralph Kennel

doi:10.1109/ECCE47101.2021.9595879

Finite Control Set Model-Based Predictive Current Control with Variable Sampling Interval for Induction Machine

Qing Chen, Xiaonan Gao, Peter Stolze, Ralph Kennel

Lehrstuhl für Hochleistungs-Umrichtersysteme

Technische Universität München

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

Abstract

This paper presents a finite control set model-based predictive current control (PCC) method with variable sampling interval for induction machine. The advantage of conventional PCC is that the optimized switching state takes place only at the beginning of a fixed sampling interval. However, its drawback is high ripples on controlled variables. Compared with traditional PCC, in the proposed PCC method the change of one optimized switching state takes place at the beginning of a variable sampling interval which can achieve a comparative performance on controlled variables. Simulation results are provided to verify the effectiveness of the proposed PCC method.

Originalsprache	Englisch
Titel	2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings
Herausgeber (Verlag)	Institute of Electrical and Electronics Engineers Inc.
Seiten	5014-5021
Seitenumfang	8
ISBN (elektronisch)	9781728151359
DOIs	https://doi.org/10.1109/ECCE47101.2021.9595879
Publikationsstatus	Veröffentlicht - 2021
Veranstaltung	13th IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Virtual, Online, Kanada Dauer: 10 Okt. 2021 → 14 Okt. 2021

Publikationsreihe

Name	2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings

Konferenz

Konferenz	13th IEEE Energy Conversion Congress and Exposition, ECCE 2021
Land/Gebiet	Kanada
Ort	Virtual, Online
Zeitraum	10/10/21 → 14/10/21

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10.1109/ECCE47101.2021.9595879

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Chen, Q., Gao, X., Stolze, P., & Kennel, R. (2021). Finite Control Set Model-Based Predictive Current Control with Variable Sampling Interval for Induction Machine. in 2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings (S. 5014-5021). (2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECCE47101.2021.9595879

Chen, Qing ; Gao, Xiaonan ; Stolze, Peter et al. / Finite Control Set Model-Based Predictive Current Control with Variable Sampling Interval for Induction Machine. 2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. S. 5014-5021 (2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings).

@inproceedings{38e47120436e46a3acb6b0132240a476,

title = "Finite Control Set Model-Based Predictive Current Control with Variable Sampling Interval for Induction Machine",

abstract = "This paper presents a finite control set model-based predictive current control (PCC) method with variable sampling interval for induction machine. The advantage of conventional PCC is that the optimized switching state takes place only at the beginning of a fixed sampling interval. However, its drawback is high ripples on controlled variables. Compared with traditional PCC, in the proposed PCC method the change of one optimized switching state takes place at the beginning of a variable sampling interval which can achieve a comparative performance on controlled variables. Simulation results are provided to verify the effectiveness of the proposed PCC method.",

author = "Qing Chen and Xiaonan Gao and Peter Stolze and Ralph Kennel",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 13th IEEE Energy Conversion Congress and Exposition, ECCE 2021 ; Conference date: 10-10-2021 Through 14-10-2021",

year = "2021",

doi = "10.1109/ECCE47101.2021.9595879",

language = "English",

series = "2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings",

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

pages = "5014--5021",

booktitle = "2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings",

}

Chen, Q, Gao, X, Stolze, P & Kennel, R 2021, Finite Control Set Model-Based Predictive Current Control with Variable Sampling Interval for Induction Machine. in 2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings. 2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings, Institute of Electrical and Electronics Engineers Inc., S. 5014-5021, 13th IEEE Energy Conversion Congress and Exposition, ECCE 2021, Virtual, Online, Kanada, 10/10/21. https://doi.org/10.1109/ECCE47101.2021.9595879

Finite Control Set Model-Based Predictive Current Control with Variable Sampling Interval for Induction Machine. / Chen, Qing; Gao, Xiaonan; Stolze, Peter et al.
2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2021. S. 5014-5021 (2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

TY - GEN

T1 - Finite Control Set Model-Based Predictive Current Control with Variable Sampling Interval for Induction Machine

AU - Chen, Qing

AU - Gao, Xiaonan

AU - Stolze, Peter

AU - Kennel, Ralph

PY - 2021

Y1 - 2021

N2 - This paper presents a finite control set model-based predictive current control (PCC) method with variable sampling interval for induction machine. The advantage of conventional PCC is that the optimized switching state takes place only at the beginning of a fixed sampling interval. However, its drawback is high ripples on controlled variables. Compared with traditional PCC, in the proposed PCC method the change of one optimized switching state takes place at the beginning of a variable sampling interval which can achieve a comparative performance on controlled variables. Simulation results are provided to verify the effectiveness of the proposed PCC method.

AB - This paper presents a finite control set model-based predictive current control (PCC) method with variable sampling interval for induction machine. The advantage of conventional PCC is that the optimized switching state takes place only at the beginning of a fixed sampling interval. However, its drawback is high ripples on controlled variables. Compared with traditional PCC, in the proposed PCC method the change of one optimized switching state takes place at the beginning of a variable sampling interval which can achieve a comparative performance on controlled variables. Simulation results are provided to verify the effectiveness of the proposed PCC method.

UR - http://www.scopus.com/inward/record.url?scp=85123382929&partnerID=8YFLogxK

U2 - 10.1109/ECCE47101.2021.9595879

DO - 10.1109/ECCE47101.2021.9595879

M3 - Conference contribution

AN - SCOPUS:85123382929

T3 - 2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings

SP - 5014

EP - 5021

BT - 2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 13th IEEE Energy Conversion Congress and Exposition, ECCE 2021

Y2 - 10 October 2021 through 14 October 2021

ER -

Chen Q, Gao X, Stolze P, Kennel R. Finite Control Set Model-Based Predictive Current Control with Variable Sampling Interval for Induction Machine. in 2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2021. S. 5014-5021. (2021 IEEE Energy Conversion Congress and Exposition, ECCE 2021 - Proceedings). doi: 10.1109/ECCE47101.2021.9595879

Finite Control Set Model-Based Predictive Current Control with Variable Sampling Interval for Induction Machine

Abstract

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