Robust Deadbeat Finite-Set Predictive Torque and Flux Control for PMSM with Dynamic Model

Taoming Wang; Mengbo Zhang; Lijun Chen; Xi Xiao; Zhe Chen; Guangzhao Luo

doi:10.1109/PRECEDE57319.2023.10174470

Robust Deadbeat Finite-Set Predictive Torque and Flux Control for PMSM with Dynamic Model

Taoming Wang, Mengbo Zhang, Lijun Chen, Xi Xiao, Zhe Chen, Guangzhao Luo

School of Automation

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

Abstract

Deadbeat finite-set predictive torque and flux control has the advantages of fast dynamic response and reduced computational burden, but the system robustness is still a challenge in real-time implementation. This paper presents a novel deadbeat finite-set predictive torque and flux control strategy with a modified dynamical predictive model for permanent magnet synchronous motor (PMSM) drives to improve the robustness against mismatched parameters. By establishing sensitivity functions, the robustness of the system can be digitally quantified. The torque and flux predictive models with dynamic weighting factors are proposed to minimize phase current distortions and torque tracking errors caused by parameter variations. Finally, the simulation results verify the improved robustness of the proposed method.

Original language	English
Title of host publication	2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350396867
DOIs	https://doi.org/10.1109/PRECEDE57319.2023.10174470
State	Published - 2023
Event	2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023 - Wuhan, China Duration: 16 Jun 2023 → 19 Jun 2023

Publication series

Name	2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023

Conference

Conference	2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023
Country/Territory	China
City	Wuhan
Period	16/06/23 → 19/06/23

Keywords

deadbeat
model predictive control
parameter sensitivity
permanent magnet synchronous motor

Access to Document

10.1109/PRECEDE57319.2023.10174470

Cite this

Wang, T., Zhang, M., Chen, L., Xiao, X., Chen, Z., & Luo, G. (2023). Robust Deadbeat Finite-Set Predictive Torque and Flux Control for PMSM with Dynamic Model. In 2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023 (2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PRECEDE57319.2023.10174470

Wang, Taoming ; Zhang, Mengbo ; Chen, Lijun et al. / Robust Deadbeat Finite-Set Predictive Torque and Flux Control for PMSM with Dynamic Model. 2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023).

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title = "Robust Deadbeat Finite-Set Predictive Torque and Flux Control for PMSM with Dynamic Model",

abstract = "Deadbeat finite-set predictive torque and flux control has the advantages of fast dynamic response and reduced computational burden, but the system robustness is still a challenge in real-time implementation. This paper presents a novel deadbeat finite-set predictive torque and flux control strategy with a modified dynamical predictive model for permanent magnet synchronous motor (PMSM) drives to improve the robustness against mismatched parameters. By establishing sensitivity functions, the robustness of the system can be digitally quantified. The torque and flux predictive models with dynamic weighting factors are proposed to minimize phase current distortions and torque tracking errors caused by parameter variations. Finally, the simulation results verify the improved robustness of the proposed method.",

keywords = "deadbeat, model predictive control, parameter sensitivity, permanent magnet synchronous motor",

author = "Taoming Wang and Mengbo Zhang and Lijun Chen and Xi Xiao and Zhe Chen and Guangzhao Luo",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023 ; Conference date: 16-06-2023 Through 19-06-2023",

year = "2023",

doi = "10.1109/PRECEDE57319.2023.10174470",

language = "英语",

series = "2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023",

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

booktitle = "2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023",

}

Wang, T, Zhang, M, Chen, L, Xiao, X, Chen, Z & Luo, G 2023, Robust Deadbeat Finite-Set Predictive Torque and Flux Control for PMSM with Dynamic Model. in 2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023. 2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023, Institute of Electrical and Electronics Engineers Inc., 2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023, Wuhan, China, 16/06/23. https://doi.org/10.1109/PRECEDE57319.2023.10174470

Robust Deadbeat Finite-Set Predictive Torque and Flux Control for PMSM with Dynamic Model. / Wang, Taoming; Zhang, Mengbo; Chen, Lijun et al.
2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023).

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

TY - GEN

T1 - Robust Deadbeat Finite-Set Predictive Torque and Flux Control for PMSM with Dynamic Model

AU - Wang, Taoming

AU - Zhang, Mengbo

AU - Chen, Lijun

AU - Xiao, Xi

AU - Chen, Zhe

AU - Luo, Guangzhao

PY - 2023

Y1 - 2023

N2 - Deadbeat finite-set predictive torque and flux control has the advantages of fast dynamic response and reduced computational burden, but the system robustness is still a challenge in real-time implementation. This paper presents a novel deadbeat finite-set predictive torque and flux control strategy with a modified dynamical predictive model for permanent magnet synchronous motor (PMSM) drives to improve the robustness against mismatched parameters. By establishing sensitivity functions, the robustness of the system can be digitally quantified. The torque and flux predictive models with dynamic weighting factors are proposed to minimize phase current distortions and torque tracking errors caused by parameter variations. Finally, the simulation results verify the improved robustness of the proposed method.

AB - Deadbeat finite-set predictive torque and flux control has the advantages of fast dynamic response and reduced computational burden, but the system robustness is still a challenge in real-time implementation. This paper presents a novel deadbeat finite-set predictive torque and flux control strategy with a modified dynamical predictive model for permanent magnet synchronous motor (PMSM) drives to improve the robustness against mismatched parameters. By establishing sensitivity functions, the robustness of the system can be digitally quantified. The torque and flux predictive models with dynamic weighting factors are proposed to minimize phase current distortions and torque tracking errors caused by parameter variations. Finally, the simulation results verify the improved robustness of the proposed method.

KW - deadbeat

KW - model predictive control

KW - parameter sensitivity

KW - permanent magnet synchronous motor

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U2 - 10.1109/PRECEDE57319.2023.10174470

DO - 10.1109/PRECEDE57319.2023.10174470

M3 - 会议稿件

AN - SCOPUS:85166212693

T3 - 2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023

BT - 2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023

Y2 - 16 June 2023 through 19 June 2023

ER -

Wang T, Zhang M, Chen L, Xiao X, Chen Z, Luo G. Robust Deadbeat Finite-Set Predictive Torque and Flux Control for PMSM with Dynamic Model. In 2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics, PRECEDE 2023). doi: 10.1109/PRECEDE57319.2023.10174470

Robust Deadbeat Finite-Set Predictive Torque and Flux Control for PMSM with Dynamic Model

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