An Inertia Identification Method Based on Adaptive Linear Disturbance Torque Observer for PMSM Drives

Yuanming Huang; Guoqiang Zhang; Hua Yang; Guangdong Bi; Gaolin Wang; Dianguo Xu

doi:10.1109/ICEMS56177.2022.9983327

An Inertia Identification Method Based on Adaptive Linear Disturbance Torque Observer for PMSM Drives

Yuanming Huang^*
, Guoqiang Zhang
, Hua Yang
, Guangdong Bi
, Gaolin Wang
, Dianguo Xu

^*Corresponding author for this work

School of Electrical Engineering and Automation, Harbin Institute of Technology

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

5 Scopus citations

Abstract

The inertia identification effectiveness depends on the accuracy of the disturbance torque estimation. In this paper, an inertia identification method based on an adaptive linear disturbance torque observer is proposed to avoid the potential oscillation of the traditional reduced-order observer. Based on the adaptive linear neuron network, the disturbance torque estimation is adjusted automatically according to the speed error. The proposed method could accurately identify the disturbance torque without any assumptions and the inertia identification precision is improved. The proposed method is verified on a 2.2-kW permanent magnet synchronous motor drive platform.

Original language	English
Title of host publication	2022 International Conference on Electrical Machines and Systems, ICEMS 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665493024
DOIs	https://doi.org/10.1109/ICEMS56177.2022.9983327
State	Published - 2022
Externally published	Yes
Event	25th International Conference on Electrical Machines and Systems, ICEMS 2022 - Virtual, Online, Thailand Duration: 29 Nov 2022 → 2 Dec 2022

Publication series

Name	2022 International Conference on Electrical Machines and Systems, ICEMS 2022

Conference

Conference	25th International Conference on Electrical Machines and Systems, ICEMS 2022
Country/Territory	Thailand
City	Virtual, Online
Period	29/11/22 → 2/12/22

Keywords

adaptive linear disturbance torque observer
inertia identification
permanent magnet synchronous motor

Access to Document

10.1109/ICEMS56177.2022.9983327

Cite this

Huang, Y., Zhang, G., Yang, H., Bi, G., Wang, G., & Xu, D. (2022). An Inertia Identification Method Based on Adaptive Linear Disturbance Torque Observer for PMSM Drives. In 2022 International Conference on Electrical Machines and Systems, ICEMS 2022 (2022 International Conference on Electrical Machines and Systems, ICEMS 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICEMS56177.2022.9983327

Huang, Yuanming ; Zhang, Guoqiang ; Yang, Hua et al. / An Inertia Identification Method Based on Adaptive Linear Disturbance Torque Observer for PMSM Drives. 2022 International Conference on Electrical Machines and Systems, ICEMS 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 International Conference on Electrical Machines and Systems, ICEMS 2022).

@inproceedings{b3c83c8723c5466f830c4a6383641535,

title = "An Inertia Identification Method Based on Adaptive Linear Disturbance Torque Observer for PMSM Drives",

abstract = "The inertia identification effectiveness depends on the accuracy of the disturbance torque estimation. In this paper, an inertia identification method based on an adaptive linear disturbance torque observer is proposed to avoid the potential oscillation of the traditional reduced-order observer. Based on the adaptive linear neuron network, the disturbance torque estimation is adjusted automatically according to the speed error. The proposed method could accurately identify the disturbance torque without any assumptions and the inertia identification precision is improved. The proposed method is verified on a 2.2-kW permanent magnet synchronous motor drive platform.",

keywords = "adaptive linear disturbance torque observer, inertia identification, permanent magnet synchronous motor",

author = "Yuanming Huang and Guoqiang Zhang and Hua Yang and Guangdong Bi and Gaolin Wang and Dianguo Xu",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 25th International Conference on Electrical Machines and Systems, ICEMS 2022 ; Conference date: 29-11-2022 Through 02-12-2022",

year = "2022",

doi = "10.1109/ICEMS56177.2022.9983327",

language = "英语",

series = "2022 International Conference on Electrical Machines and Systems, ICEMS 2022",

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

booktitle = "2022 International Conference on Electrical Machines and Systems, ICEMS 2022",

address = "美国",

}

Huang, Y, Zhang, G, Yang, H, Bi, G, Wang, G & Xu, D 2022, An Inertia Identification Method Based on Adaptive Linear Disturbance Torque Observer for PMSM Drives. in 2022 International Conference on Electrical Machines and Systems, ICEMS 2022. 2022 International Conference on Electrical Machines and Systems, ICEMS 2022, Institute of Electrical and Electronics Engineers Inc., 25th International Conference on Electrical Machines and Systems, ICEMS 2022, Virtual, Online, Thailand, 29/11/22. https://doi.org/10.1109/ICEMS56177.2022.9983327

An Inertia Identification Method Based on Adaptive Linear Disturbance Torque Observer for PMSM Drives. / Huang, Yuanming; Zhang, Guoqiang; Yang, Hua et al.
2022 International Conference on Electrical Machines and Systems, ICEMS 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 International Conference on Electrical Machines and Systems, ICEMS 2022).

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

TY - GEN

T1 - An Inertia Identification Method Based on Adaptive Linear Disturbance Torque Observer for PMSM Drives

AU - Huang, Yuanming

AU - Zhang, Guoqiang

AU - Yang, Hua

AU - Bi, Guangdong

AU - Wang, Gaolin

AU - Xu, Dianguo

PY - 2022

Y1 - 2022

N2 - The inertia identification effectiveness depends on the accuracy of the disturbance torque estimation. In this paper, an inertia identification method based on an adaptive linear disturbance torque observer is proposed to avoid the potential oscillation of the traditional reduced-order observer. Based on the adaptive linear neuron network, the disturbance torque estimation is adjusted automatically according to the speed error. The proposed method could accurately identify the disturbance torque without any assumptions and the inertia identification precision is improved. The proposed method is verified on a 2.2-kW permanent magnet synchronous motor drive platform.

AB - The inertia identification effectiveness depends on the accuracy of the disturbance torque estimation. In this paper, an inertia identification method based on an adaptive linear disturbance torque observer is proposed to avoid the potential oscillation of the traditional reduced-order observer. Based on the adaptive linear neuron network, the disturbance torque estimation is adjusted automatically according to the speed error. The proposed method could accurately identify the disturbance torque without any assumptions and the inertia identification precision is improved. The proposed method is verified on a 2.2-kW permanent magnet synchronous motor drive platform.

KW - adaptive linear disturbance torque observer

KW - inertia identification

KW - permanent magnet synchronous motor

UR - https://www.scopus.com/pages/publications/85146359918

U2 - 10.1109/ICEMS56177.2022.9983327

DO - 10.1109/ICEMS56177.2022.9983327

M3 - 会议稿件

AN - SCOPUS:85146359918

T3 - 2022 International Conference on Electrical Machines and Systems, ICEMS 2022

BT - 2022 International Conference on Electrical Machines and Systems, ICEMS 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 25th International Conference on Electrical Machines and Systems, ICEMS 2022

Y2 - 29 November 2022 through 2 December 2022

ER -

Huang Y, Zhang G, Yang H, Bi G, Wang G , Xu D. An Inertia Identification Method Based on Adaptive Linear Disturbance Torque Observer for PMSM Drives. In 2022 International Conference on Electrical Machines and Systems, ICEMS 2022. Institute of Electrical and Electronics Engineers Inc. 2022. (2022 International Conference on Electrical Machines and Systems, ICEMS 2022). doi: 10.1109/ICEMS56177.2022.9983327

An Inertia Identification Method Based on Adaptive Linear Disturbance Torque Observer for PMSM Drives

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