Novel non-singular terminal sliding mode observer based on support vector regression parameters optimization for PMSM sensorless control

Yue Zhang; Jiewen Si; Bo Hu; Zhiming Liang; Ling Liu; Yishan Ma; Qilian Lin

doi:10.1109/CCDC52312.2021.9602094

Novel non-singular terminal sliding mode observer based on support vector regression parameters optimization for PMSM sensorless control

Yue Zhang
, Jiewen Si
, Bo Hu
, Zhiming Liang
, Ling Liu
, Yishan Ma
, Qilian Lin

School of Electrical Engineering

Ltd. of Dongfang Electric Corporation
Xi'an Jiaotong University

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

Abstract

In order to improve the stability and dynamic performance on the sensorless control system of permanent magnet synchronous motor, a novel nonsingular terminal sliding mode observer is proposed in this paper. It discards the differential term with the integral term which avoids the noise caused by the differential signal and the singular problem that may occur in the sliding mode process. Then, a support vector regression machine is used to optimize the most important parameters which affect novel nonsingular terminal sliding mode observer's performance. Simulation results show that sensorless control system using novel nonsingular terminal sliding mode observer has high tracking accuracy and small error in rotor position and speed, and has advanced dynamic performance and robustness.

Original language	English
Title of host publication	Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1348-1353
Number of pages	6
ISBN (Electronic)	9781665440899
DOIs	https://doi.org/10.1109/CCDC52312.2021.9602094
State	Published - 2021
Event	33rd Chinese Control and Decision Conference, CCDC 2021 - Kunming, China Duration: 22 May 2021 → 24 May 2021

Publication series

Name	Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021

Conference

Conference	33rd Chinese Control and Decision Conference, CCDC 2021
Country/Territory	China
City	Kunming
Period	22/05/21 → 24/05/21

Keywords

Nonlinear saturation function
Permanent magnet synchronous motor
Sliding mode observer
Support regression machine

Access to Document

10.1109/CCDC52312.2021.9602094

Cite this

Zhang, Y., Si, J., Hu, B., Liang, Z., Liu, L., Ma, Y., & Lin, Q. (2021). Novel non-singular terminal sliding mode observer based on support vector regression parameters optimization for PMSM sensorless control. In Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021 (pp. 1348-1353). (Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCDC52312.2021.9602094

Zhang, Yue ; Si, Jiewen ; Hu, Bo et al. / Novel non-singular terminal sliding mode observer based on support vector regression parameters optimization for PMSM sensorless control. Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 1348-1353 (Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021).

@inproceedings{140ac2dedeae4f58aae3783e17c688ef,

title = "Novel non-singular terminal sliding mode observer based on support vector regression parameters optimization for PMSM sensorless control",

abstract = "In order to improve the stability and dynamic performance on the sensorless control system of permanent magnet synchronous motor, a novel nonsingular terminal sliding mode observer is proposed in this paper. It discards the differential term with the integral term which avoids the noise caused by the differential signal and the singular problem that may occur in the sliding mode process. Then, a support vector regression machine is used to optimize the most important parameters which affect novel nonsingular terminal sliding mode observer's performance. Simulation results show that sensorless control system using novel nonsingular terminal sliding mode observer has high tracking accuracy and small error in rotor position and speed, and has advanced dynamic performance and robustness.",

keywords = "Nonlinear saturation function, Permanent magnet synchronous motor, Sliding mode observer, Support regression machine",

author = "Yue Zhang and Jiewen Si and Bo Hu and Zhiming Liang and Ling Liu and Yishan Ma and Qilian Lin",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 33rd Chinese Control and Decision Conference, CCDC 2021 ; Conference date: 22-05-2021 Through 24-05-2021",

year = "2021",

doi = "10.1109/CCDC52312.2021.9602094",

language = "英语",

series = "Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021",

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

pages = "1348--1353",

booktitle = "Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021",

}

Zhang, Y, Si, J, Hu, B, Liang, Z, Liu, L, Ma, Y & Lin, Q 2021, Novel non-singular terminal sliding mode observer based on support vector regression parameters optimization for PMSM sensorless control. in Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021. Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021, Institute of Electrical and Electronics Engineers Inc., pp. 1348-1353, 33rd Chinese Control and Decision Conference, CCDC 2021, Kunming, China, 22/05/21. https://doi.org/10.1109/CCDC52312.2021.9602094

Novel non-singular terminal sliding mode observer based on support vector regression parameters optimization for PMSM sensorless control. / Zhang, Yue; Si, Jiewen; Hu, Bo et al.
Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 1348-1353 (Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021).

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

TY - GEN

T1 - Novel non-singular terminal sliding mode observer based on support vector regression parameters optimization for PMSM sensorless control

AU - Zhang, Yue

AU - Si, Jiewen

AU - Hu, Bo

AU - Liang, Zhiming

AU - Liu, Ling

AU - Ma, Yishan

AU - Lin, Qilian

PY - 2021

Y1 - 2021

N2 - In order to improve the stability and dynamic performance on the sensorless control system of permanent magnet synchronous motor, a novel nonsingular terminal sliding mode observer is proposed in this paper. It discards the differential term with the integral term which avoids the noise caused by the differential signal and the singular problem that may occur in the sliding mode process. Then, a support vector regression machine is used to optimize the most important parameters which affect novel nonsingular terminal sliding mode observer's performance. Simulation results show that sensorless control system using novel nonsingular terminal sliding mode observer has high tracking accuracy and small error in rotor position and speed, and has advanced dynamic performance and robustness.

AB - In order to improve the stability and dynamic performance on the sensorless control system of permanent magnet synchronous motor, a novel nonsingular terminal sliding mode observer is proposed in this paper. It discards the differential term with the integral term which avoids the noise caused by the differential signal and the singular problem that may occur in the sliding mode process. Then, a support vector regression machine is used to optimize the most important parameters which affect novel nonsingular terminal sliding mode observer's performance. Simulation results show that sensorless control system using novel nonsingular terminal sliding mode observer has high tracking accuracy and small error in rotor position and speed, and has advanced dynamic performance and robustness.

KW - Nonlinear saturation function

KW - Permanent magnet synchronous motor

KW - Sliding mode observer

KW - Support regression machine

UR - https://www.scopus.com/pages/publications/85125171053

U2 - 10.1109/CCDC52312.2021.9602094

DO - 10.1109/CCDC52312.2021.9602094

M3 - 会议稿件

AN - SCOPUS:85125171053

T3 - Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021

SP - 1348

EP - 1353

BT - Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 33rd Chinese Control and Decision Conference, CCDC 2021

Y2 - 22 May 2021 through 24 May 2021

ER -

Zhang Y, Si J, Hu B, Liang Z, Liu L, Ma Y et al. Novel non-singular terminal sliding mode observer based on support vector regression parameters optimization for PMSM sensorless control. In Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 1348-1353. (Proceedings of the 33rd Chinese Control and Decision Conference, CCDC 2021). doi: 10.1109/CCDC52312.2021.9602094

Novel non-singular terminal sliding mode observer based on support vector regression parameters optimization for PMSM sensorless control

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