Online Multi-parameter Identification of Long-mover Permanent Magnet Linear Motor

Leyang Yan; Donglai Zhang; Ziping Bai; Peiqing Ye; Chunlei Zhang

doi:10.1109/ICEMS.2019.8921973

Online Multi-parameter Identification of Long-mover Permanent Magnet Linear Motor

Leyang Yan
, Donglai Zhang
, Ziping Bai
, Peiqing Ye
, Chunlei Zhang

Harbin Institute of Technology Shenzhen
Ltd
Tsinghua University

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

5 Scopus citations

Abstract

Accurate motor parameters is required for high-performance motion control. In this paper, the multi-parameter identification of long-mover permanent magnet linear motor is discussed. Firstly, the law of flux linkage variation with mover position is derived, considering the change of valid coupling length of PM and coils. Then, the feasibility of simultaneous identification of flux linkage and stator resistance is analyzed and confirmed. Finally, the extended Kalman filter is used to accomplish the multi-parameter online identification process. Experimental results prove the feasibility and effectiveness of multi-parameter identification of long-mover permanent magnet linear motor.

Original language	English
Title of host publication	2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728133980
DOIs	https://doi.org/10.1109/ICEMS.2019.8921973
State	Published - Aug 2019
Externally published	Yes
Event	22nd International Conference on Electrical Machines and Systems, ICEMS 2019 - Harbin, China Duration: 11 Aug 2019 → 14 Aug 2019

Publication series

Name	2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019

Conference

Conference	22nd International Conference on Electrical Machines and Systems, ICEMS 2019
Country/Territory	China
City	Harbin
Period	11/08/19 → 14/08/19

Keywords

multi parameter
parameter identification
permanent magnet linear motor (PMLM)

Access to Document

10.1109/ICEMS.2019.8921973

Cite this

Yan, L., Zhang, D., Bai, Z., Ye, P., & Zhang, C. (2019). Online Multi-parameter Identification of Long-mover Permanent Magnet Linear Motor. In 2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019 Article 8921973 (2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICEMS.2019.8921973

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title = "Online Multi-parameter Identification of Long-mover Permanent Magnet Linear Motor",

abstract = "Accurate motor parameters is required for high-performance motion control. In this paper, the multi-parameter identification of long-mover permanent magnet linear motor is discussed. Firstly, the law of flux linkage variation with mover position is derived, considering the change of valid coupling length of PM and coils. Then, the feasibility of simultaneous identification of flux linkage and stator resistance is analyzed and confirmed. Finally, the extended Kalman filter is used to accomplish the multi-parameter online identification process. Experimental results prove the feasibility and effectiveness of multi-parameter identification of long-mover permanent magnet linear motor.",

keywords = "multi parameter, parameter identification, permanent magnet linear motor (PMLM)",

author = "Leyang Yan and Donglai Zhang and Ziping Bai and Peiqing Ye and Chunlei Zhang",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 22nd International Conference on Electrical Machines and Systems, ICEMS 2019 ; Conference date: 11-08-2019 Through 14-08-2019",

year = "2019",

month = aug,

doi = "10.1109/ICEMS.2019.8921973",

language = "英语",

series = "2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019",

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

booktitle = "2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019",

address = "美国",

}

Yan, L, Zhang, D, Bai, Z, Ye, P & Zhang, C 2019, Online Multi-parameter Identification of Long-mover Permanent Magnet Linear Motor. in 2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019., 8921973, 2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019, Institute of Electrical and Electronics Engineers Inc., 22nd International Conference on Electrical Machines and Systems, ICEMS 2019, Harbin, China, 11/08/19. https://doi.org/10.1109/ICEMS.2019.8921973

Online Multi-parameter Identification of Long-mover Permanent Magnet Linear Motor. / Yan, Leyang; Zhang, Donglai; Bai, Ziping et al.
2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8921973 (2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019).

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

TY - GEN

T1 - Online Multi-parameter Identification of Long-mover Permanent Magnet Linear Motor

AU - Yan, Leyang

AU - Zhang, Donglai

AU - Bai, Ziping

AU - Ye, Peiqing

AU - Zhang, Chunlei

PY - 2019/8

Y1 - 2019/8

N2 - Accurate motor parameters is required for high-performance motion control. In this paper, the multi-parameter identification of long-mover permanent magnet linear motor is discussed. Firstly, the law of flux linkage variation with mover position is derived, considering the change of valid coupling length of PM and coils. Then, the feasibility of simultaneous identification of flux linkage and stator resistance is analyzed and confirmed. Finally, the extended Kalman filter is used to accomplish the multi-parameter online identification process. Experimental results prove the feasibility and effectiveness of multi-parameter identification of long-mover permanent magnet linear motor.

AB - Accurate motor parameters is required for high-performance motion control. In this paper, the multi-parameter identification of long-mover permanent magnet linear motor is discussed. Firstly, the law of flux linkage variation with mover position is derived, considering the change of valid coupling length of PM and coils. Then, the feasibility of simultaneous identification of flux linkage and stator resistance is analyzed and confirmed. Finally, the extended Kalman filter is used to accomplish the multi-parameter online identification process. Experimental results prove the feasibility and effectiveness of multi-parameter identification of long-mover permanent magnet linear motor.

KW - multi parameter

KW - parameter identification

KW - permanent magnet linear motor (PMLM)

UR - https://www.scopus.com/pages/publications/85077128064

U2 - 10.1109/ICEMS.2019.8921973

DO - 10.1109/ICEMS.2019.8921973

M3 - 会议稿件

AN - SCOPUS:85077128064

T3 - 2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019

BT - 2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 22nd International Conference on Electrical Machines and Systems, ICEMS 2019

Y2 - 11 August 2019 through 14 August 2019

ER -

Yan L, Zhang D, Bai Z, Ye P, Zhang C. Online Multi-parameter Identification of Long-mover Permanent Magnet Linear Motor. In 2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8921973. (2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019). doi: 10.1109/ICEMS.2019.8921973

Online Multi-parameter Identification of Long-mover Permanent Magnet Linear Motor

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