Predictive Current Control with Torque Ripple Minimization for PMSM of Electric Vehicles

Jinsong Kang; Xudong Li; Yusong Liu; Siyuan Mu; Shuo Wang

doi:10.1109/PEAC.2018.8590256

Predictive Current Control with Torque Ripple Minimization for PMSM of Electric Vehicles

Jinsong Kang
, Xudong Li
, Yusong Liu
, Siyuan Mu
, Shuo Wang

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

10 Citations (Scopus)

Abstract

To reduce the torque ripples of permanent magnet synchronous machine (PMSM) drive systems with model predictive control (MPC), an improved MPC is proposed based on torque ripple minimization. The optimal active vector is selected from the control set for current control. Considering voltage vectors and torque responses in one control period, a cost function of torque ripples is designed to calculate the optimal duration of the active vector. The selected active vector and a zero vector are combined according to the optimal duration to determine switching control signals of the inverter. Simulation results indicate that the proposed method reduces torque ripples and has high dynamic responses of torque at different operation conditions.

Original language	English
Title of host publication	Proceedings - 2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538660539
DOIs	https://doi.org/10.1109/PEAC.2018.8590256
Publication status	Published - 26 Dec 2018
Externally published	Yes
Event	2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018 - Shenzhen, China Duration: 4 Nov 2018 → 7 Nov 2018

Publication series

Name	Proceedings - 2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018

Conference

Conference	2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018
Country/Territory	China
City	Shenzhen
Period	4/11/18 → 7/11/18

UN SDGs

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

SDG 7 Affordable and Clean Energy

Free Keywords

current control
model predictive control (MPC)
permanent magnet synchronous machine (PMSM)
torque ripple minimization

ASJC Scopus subject areas

Energy Engineering and Power Technology
Electrical and Electronic Engineering

Access to Document

10.1109/PEAC.2018.8590256

Cite this

Kang, J., Li, X., Liu, Y., Mu, S., & Wang, S. (2018). Predictive Current Control with Torque Ripple Minimization for PMSM of Electric Vehicles. In Proceedings - 2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018 Article 8590256 (Proceedings - 2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PEAC.2018.8590256

Kang, Jinsong ; Li, Xudong ; Liu, Yusong et al. / Predictive Current Control with Torque Ripple Minimization for PMSM of Electric Vehicles. Proceedings - 2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. (Proceedings - 2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018).

@inproceedings{0dd423970c154213aa20e9fdf7a3cca2,

title = "Predictive Current Control with Torque Ripple Minimization for PMSM of Electric Vehicles",

abstract = "To reduce the torque ripples of permanent magnet synchronous machine (PMSM) drive systems with model predictive control (MPC), an improved MPC is proposed based on torque ripple minimization. The optimal active vector is selected from the control set for current control. Considering voltage vectors and torque responses in one control period, a cost function of torque ripples is designed to calculate the optimal duration of the active vector. The selected active vector and a zero vector are combined according to the optimal duration to determine switching control signals of the inverter. Simulation results indicate that the proposed method reduces torque ripples and has high dynamic responses of torque at different operation conditions.",

keywords = "current control, model predictive control (MPC), permanent magnet synchronous machine (PMSM), torque ripple minimization",

author = "Jinsong Kang and Xudong Li and Yusong Liu and Siyuan Mu and Shuo Wang",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018 ; Conference date: 04-11-2018 Through 07-11-2018",

year = "2018",

month = dec,

day = "26",

doi = "10.1109/PEAC.2018.8590256",

language = "English",

series = "Proceedings - 2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018",

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

booktitle = "Proceedings - 2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018",

address = "United States",

}

Kang, J, Li, X, Liu, Y, Mu, S & Wang, S 2018, Predictive Current Control with Torque Ripple Minimization for PMSM of Electric Vehicles. in Proceedings - 2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018., 8590256, Proceedings - 2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018, Institute of Electrical and Electronics Engineers Inc., 2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018, Shenzhen, China, 4/11/18. https://doi.org/10.1109/PEAC.2018.8590256

Predictive Current Control with Torque Ripple Minimization for PMSM of Electric Vehicles. / Kang, Jinsong; Li, Xudong; Liu, Yusong et al.
Proceedings - 2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8590256 (Proceedings - 2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018).

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

TY - GEN

T1 - Predictive Current Control with Torque Ripple Minimization for PMSM of Electric Vehicles

AU - Kang, Jinsong

AU - Li, Xudong

AU - Liu, Yusong

AU - Mu, Siyuan

AU - Wang, Shuo

PY - 2018/12/26

Y1 - 2018/12/26

N2 - To reduce the torque ripples of permanent magnet synchronous machine (PMSM) drive systems with model predictive control (MPC), an improved MPC is proposed based on torque ripple minimization. The optimal active vector is selected from the control set for current control. Considering voltage vectors and torque responses in one control period, a cost function of torque ripples is designed to calculate the optimal duration of the active vector. The selected active vector and a zero vector are combined according to the optimal duration to determine switching control signals of the inverter. Simulation results indicate that the proposed method reduces torque ripples and has high dynamic responses of torque at different operation conditions.

AB - To reduce the torque ripples of permanent magnet synchronous machine (PMSM) drive systems with model predictive control (MPC), an improved MPC is proposed based on torque ripple minimization. The optimal active vector is selected from the control set for current control. Considering voltage vectors and torque responses in one control period, a cost function of torque ripples is designed to calculate the optimal duration of the active vector. The selected active vector and a zero vector are combined according to the optimal duration to determine switching control signals of the inverter. Simulation results indicate that the proposed method reduces torque ripples and has high dynamic responses of torque at different operation conditions.

KW - current control

KW - model predictive control (MPC)

KW - permanent magnet synchronous machine (PMSM)

KW - torque ripple minimization

UR - https://www.scopus.com/pages/publications/85060977319

U2 - 10.1109/PEAC.2018.8590256

DO - 10.1109/PEAC.2018.8590256

M3 - Conference contribution

AN - SCOPUS:85060977319

T3 - Proceedings - 2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018

BT - Proceedings - 2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018

Y2 - 4 November 2018 through 7 November 2018

ER -

Kang J, Li X, Liu Y, Mu S, Wang S. Predictive Current Control with Torque Ripple Minimization for PMSM of Electric Vehicles. In Proceedings - 2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018. Institute of Electrical and Electronics Engineers Inc. 2018. 8590256. (Proceedings - 2018 IEEE International Power Electronics and Application Conference and Exposition, PEAC 2018). doi: 10.1109/PEAC.2018.8590256

Predictive Current Control with Torque Ripple Minimization for PMSM of Electric Vehicles

Abstract

Publication series

Conference

UN SDGs

Free Keywords

ASJC Scopus subject areas

Access to Document

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