Model Predict Torque Control of Induction Motor Based on the DTC Switching Table

Chaoqun Xiang; Xinan Zhang; Zhuoxin Li; Lulin Zhang; Shu Cheng

doi:10.1109/ICIEA48937.2020.9248310

Model Predict Torque Control of Induction Motor Based on the DTC Switching Table

Chaoqun Xiang, Xinan Zhang, Zhuoxin Li, Lulin Zhang, Shu Cheng

Electrical, Electronic and Computer Engineering

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

1 Citation (Scopus)

Abstract

Compared to direct torque control (DTC), model predict torque control (MPTC) is more effective and accurate in VV (VV) selection. This paper presents a novel two-vector MPTC approach based switching table for induction motor drives. The proposed method contributes to significantly reduce torque ripples and stator current harmonics in conventional MPTC by using two VVs in one sampling cycle. The active VVs is determined based on switching table of DTC and cost function. The validity of the proposed method is verified through simulations.

Original language	English
Title of host publication	Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	1348-1352
Number of pages	5
ISBN (Electronic)	9781728151694
DOIs	https://doi.org/10.1109/ICIEA48937.2020.9248310
Publication status	Published - 9 Nov 2020
Event	15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020 - Virtual, Kristiansand, Norway Duration: 9 Nov 2020 → 13 Nov 2020

Publication series

Name	Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020

Conference

Conference	15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020
Country/Territory	Norway
City	Virtual, Kristiansand
Period	9/11/20 → 13/11/20

UN SDGs

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

Access to Document

10.1109/ICIEA48937.2020.9248310

Cite this

Xiang, C., Zhang, X., Li, Z., Zhang, L., & Cheng, S. (2020). Model Predict Torque Control of Induction Motor Based on the DTC Switching Table. In Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020 (pp. 1348-1352). Article 9248310 (Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICIEA48937.2020.9248310

Xiang, Chaoqun ; Zhang, Xinan ; Li, Zhuoxin et al. / Model Predict Torque Control of Induction Motor Based on the DTC Switching Table. Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020. IEEE, Institute of Electrical and Electronics Engineers, 2020. pp. 1348-1352 (Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020).

@inproceedings{f1e48d1b11b54b4eaeb462af38fa0b7b,

title = "Model Predict Torque Control of Induction Motor Based on the DTC Switching Table",

abstract = "Compared to direct torque control (DTC), model predict torque control (MPTC) is more effective and accurate in VV (VV) selection. This paper presents a novel two-vector MPTC approach based switching table for induction motor drives. The proposed method contributes to significantly reduce torque ripples and stator current harmonics in conventional MPTC by using two VVs in one sampling cycle. The active VVs is determined based on switching table of DTC and cost function. The validity of the proposed method is verified through simulations.",

keywords = "induction motor, MPTC, switching table, two-vector",

author = "Chaoqun Xiang and Xinan Zhang and Zhuoxin Li and Lulin Zhang and Shu Cheng",

year = "2020",

month = nov,

day = "9",

doi = "10.1109/ICIEA48937.2020.9248310",

language = "English",

series = "Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

pages = "1348--1352",

booktitle = "Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020",

address = "United States",

note = "15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020 ; Conference date: 09-11-2020 Through 13-11-2020",

}

Xiang, C, Zhang, X, Li, Z, Zhang, L & Cheng, S 2020, Model Predict Torque Control of Induction Motor Based on the DTC Switching Table. in Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020., 9248310, Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020, IEEE, Institute of Electrical and Electronics Engineers, pp. 1348-1352, 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020, Virtual, Kristiansand, Norway, 9/11/20. https://doi.org/10.1109/ICIEA48937.2020.9248310

Model Predict Torque Control of Induction Motor Based on the DTC Switching Table. / Xiang, Chaoqun; Zhang, Xinan; Li, Zhuoxin et al.
Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020. IEEE, Institute of Electrical and Electronics Engineers, 2020. p. 1348-1352 9248310 (Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020).

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

TY - GEN

T1 - Model Predict Torque Control of Induction Motor Based on the DTC Switching Table

AU - Xiang, Chaoqun

AU - Zhang, Xinan

AU - Li, Zhuoxin

AU - Zhang, Lulin

AU - Cheng, Shu

PY - 2020/11/9

Y1 - 2020/11/9

N2 - Compared to direct torque control (DTC), model predict torque control (MPTC) is more effective and accurate in VV (VV) selection. This paper presents a novel two-vector MPTC approach based switching table for induction motor drives. The proposed method contributes to significantly reduce torque ripples and stator current harmonics in conventional MPTC by using two VVs in one sampling cycle. The active VVs is determined based on switching table of DTC and cost function. The validity of the proposed method is verified through simulations.

AB - Compared to direct torque control (DTC), model predict torque control (MPTC) is more effective and accurate in VV (VV) selection. This paper presents a novel two-vector MPTC approach based switching table for induction motor drives. The proposed method contributes to significantly reduce torque ripples and stator current harmonics in conventional MPTC by using two VVs in one sampling cycle. The active VVs is determined based on switching table of DTC and cost function. The validity of the proposed method is verified through simulations.

KW - induction motor

KW - MPTC

KW - switching table

KW - two-vector

UR - http://www.scopus.com/inward/record.url?scp=85097531362&partnerID=8YFLogxK

U2 - 10.1109/ICIEA48937.2020.9248310

DO - 10.1109/ICIEA48937.2020.9248310

M3 - Conference paper

AN - SCOPUS:85097531362

T3 - Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020

SP - 1348

EP - 1352

BT - Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020

PB - IEEE, Institute of Electrical and Electronics Engineers

T2 - 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020

Y2 - 9 November 2020 through 13 November 2020

ER -

Xiang C, Zhang X, Li Z, Zhang L, Cheng S. Model Predict Torque Control of Induction Motor Based on the DTC Switching Table. In Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020. IEEE, Institute of Electrical and Electronics Engineers. 2020. p. 1348-1352. 9248310. (Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020). doi: 10.1109/ICIEA48937.2020.9248310

Model Predict Torque Control of Induction Motor Based on the DTC Switching Table

Abstract

Publication series

Conference

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this