Recursive Least Square Method Based Automatic Balance Control of Active Magnetic Bearings

Jiming Zou; Fayuan Xie; Wentao Zhang; Yongxiang Xu

doi:10.1109/ICMA57826.2023.10215655

Recursive Least Square Method Based Automatic Balance Control of Active Magnetic Bearings

Jiming Zou^*
, Fayuan Xie
, Wentao Zhang
, Yongxiang 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

2 Scopus citations

Abstract

Aiming to suppress the same frequency current vibration of the active magnetic bearing (AMB) system with rotor imbalance, this paper proposes a novel automatic balancing control strategy based on Recursive Least Squares (RLS) algorithm and uses fuzzy control algorithm to improve the robustness of the PID controller. This method can effectively suppress the same frequency current while enhancing the anti-interference ability of the control system. The simulation results demonstrate the availability of this strategy. Compared to the automatic balancing algorithm that combines traditional LMS filters and PID controllers, the control method combining the RLS filter and the fuzzy-PID controller has a faster current convergence speed and stronger anti-interference ability.

Original language	English
Title of host publication	2023 IEEE International Conference on Mechatronics and Automation, ICMA 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1930-1934
Number of pages	5
ISBN (Electronic)	9798350320831
DOIs	https://doi.org/10.1109/ICMA57826.2023.10215655
State	Published - 2023
Externally published	Yes
Event	20th IEEE International Conference on Mechatronics and Automation, ICMA 2023 - Harbin, Heilongjiang, China Duration: 6 Aug 2023 → 9 Aug 2023

Publication series

Name	2023 IEEE International Conference on Mechatronics and Automation, ICMA 2023

Conference

Conference	20th IEEE International Conference on Mechatronics and Automation, ICMA 2023
Country/Territory	China
City	Harbin, Heilongjiang
Period	6/08/23 → 9/08/23

Keywords

Active magnetic bearing (AMB)
current vibration suppression
fuzzy control
recursive least square

Access to Document

10.1109/ICMA57826.2023.10215655

Cite this

Zou, J., Xie, F., Zhang, W., & Xu, Y. (2023). Recursive Least Square Method Based Automatic Balance Control of Active Magnetic Bearings. In 2023 IEEE International Conference on Mechatronics and Automation, ICMA 2023 (pp. 1930-1934). (2023 IEEE International Conference on Mechatronics and Automation, ICMA 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICMA57826.2023.10215655

Zou, Jiming ; Xie, Fayuan ; Zhang, Wentao et al. / Recursive Least Square Method Based Automatic Balance Control of Active Magnetic Bearings. 2023 IEEE International Conference on Mechatronics and Automation, ICMA 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 1930-1934 (2023 IEEE International Conference on Mechatronics and Automation, ICMA 2023).

@inproceedings{7498caaad64540f8b7d52caa682e0bf3,

title = "Recursive Least Square Method Based Automatic Balance Control of Active Magnetic Bearings",

abstract = "Aiming to suppress the same frequency current vibration of the active magnetic bearing (AMB) system with rotor imbalance, this paper proposes a novel automatic balancing control strategy based on Recursive Least Squares (RLS) algorithm and uses fuzzy control algorithm to improve the robustness of the PID controller. This method can effectively suppress the same frequency current while enhancing the anti-interference ability of the control system. The simulation results demonstrate the availability of this strategy. Compared to the automatic balancing algorithm that combines traditional LMS filters and PID controllers, the control method combining the RLS filter and the fuzzy-PID controller has a faster current convergence speed and stronger anti-interference ability.",

keywords = "Active magnetic bearing (AMB), current vibration suppression, fuzzy control, recursive least square",

author = "Jiming Zou and Fayuan Xie and Wentao Zhang and Yongxiang Xu",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 20th IEEE International Conference on Mechatronics and Automation, ICMA 2023 ; Conference date: 06-08-2023 Through 09-08-2023",

year = "2023",

doi = "10.1109/ICMA57826.2023.10215655",

language = "英语",

series = "2023 IEEE International Conference on Mechatronics and Automation, ICMA 2023",

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

pages = "1930--1934",

booktitle = "2023 IEEE International Conference on Mechatronics and Automation, ICMA 2023",

address = "美国",

}

Zou, J, Xie, F, Zhang, W & Xu, Y 2023, Recursive Least Square Method Based Automatic Balance Control of Active Magnetic Bearings. in 2023 IEEE International Conference on Mechatronics and Automation, ICMA 2023. 2023 IEEE International Conference on Mechatronics and Automation, ICMA 2023, Institute of Electrical and Electronics Engineers Inc., pp. 1930-1934, 20th IEEE International Conference on Mechatronics and Automation, ICMA 2023, Harbin, Heilongjiang, China, 6/08/23. https://doi.org/10.1109/ICMA57826.2023.10215655

Recursive Least Square Method Based Automatic Balance Control of Active Magnetic Bearings. / Zou, Jiming; Xie, Fayuan; Zhang, Wentao et al.
2023 IEEE International Conference on Mechatronics and Automation, ICMA 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 1930-1934 (2023 IEEE International Conference on Mechatronics and Automation, ICMA 2023).

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

TY - GEN

T1 - Recursive Least Square Method Based Automatic Balance Control of Active Magnetic Bearings

AU - Zou, Jiming

AU - Xie, Fayuan

AU - Zhang, Wentao

AU - Xu, Yongxiang

PY - 2023

Y1 - 2023

N2 - Aiming to suppress the same frequency current vibration of the active magnetic bearing (AMB) system with rotor imbalance, this paper proposes a novel automatic balancing control strategy based on Recursive Least Squares (RLS) algorithm and uses fuzzy control algorithm to improve the robustness of the PID controller. This method can effectively suppress the same frequency current while enhancing the anti-interference ability of the control system. The simulation results demonstrate the availability of this strategy. Compared to the automatic balancing algorithm that combines traditional LMS filters and PID controllers, the control method combining the RLS filter and the fuzzy-PID controller has a faster current convergence speed and stronger anti-interference ability.

AB - Aiming to suppress the same frequency current vibration of the active magnetic bearing (AMB) system with rotor imbalance, this paper proposes a novel automatic balancing control strategy based on Recursive Least Squares (RLS) algorithm and uses fuzzy control algorithm to improve the robustness of the PID controller. This method can effectively suppress the same frequency current while enhancing the anti-interference ability of the control system. The simulation results demonstrate the availability of this strategy. Compared to the automatic balancing algorithm that combines traditional LMS filters and PID controllers, the control method combining the RLS filter and the fuzzy-PID controller has a faster current convergence speed and stronger anti-interference ability.

KW - Active magnetic bearing (AMB)

KW - current vibration suppression

KW - fuzzy control

KW - recursive least square

UR - https://www.scopus.com/pages/publications/85170822028

U2 - 10.1109/ICMA57826.2023.10215655

DO - 10.1109/ICMA57826.2023.10215655

M3 - 会议稿件

AN - SCOPUS:85170822028

T3 - 2023 IEEE International Conference on Mechatronics and Automation, ICMA 2023

SP - 1930

EP - 1934

BT - 2023 IEEE International Conference on Mechatronics and Automation, ICMA 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 20th IEEE International Conference on Mechatronics and Automation, ICMA 2023

Y2 - 6 August 2023 through 9 August 2023

ER -

Zou J, Xie F, Zhang W , Xu Y. Recursive Least Square Method Based Automatic Balance Control of Active Magnetic Bearings. In 2023 IEEE International Conference on Mechatronics and Automation, ICMA 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 1930-1934. (2023 IEEE International Conference on Mechatronics and Automation, ICMA 2023). doi: 10.1109/ICMA57826.2023.10215655

Recursive Least Square Method Based Automatic Balance Control of Active Magnetic Bearings

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this